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Introducing the Valleydale Animal Clinic App & Rewards Points

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Valleydale Animal Clinic offers full-service veterinary and grooming services for dogs and cats in the Birmingham, AL area.

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Computer vision and robotic surgery

Centre for Innovation in Information Visualization and Data Driven Design (CIVDDD) is an Ontario Research Fund-Research Excellence grant, under which there is a project called Data Acquisition, Analysis, and Visualization for 3D Computer Vision Surgical Robotics. This project, led by Richard Wildes, is concerned with advancing computer vision and data visualization for image-guided robotic surgery. One of the specific problems includes the performance characterization of camera-based computer vision algorithms, used to estimate 3D geometry and motions of subjects during medical surgeries. These characterizations include high-resolution reconstruction and tracking of the surgical area. Advancement in this project and area itself is a major hurdle in development of surgical robots, that could become even more autonomous in the near future (let's hope that Skynet does not become self-aware during the surgery). So far, this technology is of greatest use for human surgeons, but for their robotic assistants in simpler tasks, by making 3D information about the current state of the surgery available in real-time.

Richard Wildes, an associate professor from the Department of Electrical Engineering and Computer Science and Centre for Vision Research at the York University, has started a collaboration with the Hospital for Sick Children in Toronto, as well as the Memorial Sloan-Kettering Cancer Center in New York. The mentioned project he's working on develops machine learning and computer vision systems to help surgeons and robots assistants during medical operations and procedures. This kind of project uses the video camera input to the computer system, which enables an enhanced 3D visualization of the medical operation as it unfolds. Usually, pre-surgical plans depend on the so-called pre-op imagery, which includes various MRI scans of internal organs and similar techniques. However, a problem could arise during the surgery itself, and sometimes the live situation changes from the pre-op one. The 3D information automatically registers the pre-op imagery and makes an in-progress correspondence with the current status of the surgery, to provide greater guidance to the surgeon. A possible use of this 3D data is to use it on a higher level to provide more autonomy to the robot surgeon system. This 3D-calibrated medical imagery is the first database of this kind, and could help the future surgeons to enhance their responsive techniques, speed, accuracy and precision during the surgery.

Recently, usage of robot assistants in surgery is increasing rapidly, especially in oncology and complicated procedures, and the success rate is similar to humans'. The introduction of minimally invasive techniques ( laparoscopic surgery) using robotic automatization has been described as "the most dramatic change in surgery since the introduction of anesthesia". The 3D, high-definition imaging of robotic technology increases the vision of the operation field and makes depth perception possible as well, since the surgeon controls the camera and magnification (up to 10 times). There is the so-called dual console mode (nothing to do with Playstation, sorry!), where a trainer can control the trainee and collaborate in various modes such as the swap one, or the nudge one, where the former enables them to switch control the robotic hands, and the latter enables them to use two robotic hands to guide the trainee during the procedure. This area of research recently received a telementoring innovation for remote assistance, which could be further enhanced with augmented-reality systems.

However, before medical experts and computer vision programmers can use machine learning and face tracking techniques to do automated facial reconstruction or aesthetic and reconstructive surgeries, a high-quality comparison is needed to truly evaluate robotic surgery using multi-centre randomized clinical trials and more data. It seems that so far nose jobs are better left to humans, since training on animals and cadavers have shown promise, but not with a negligible rate of failure.

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References:

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Computer vision and robotic surgery - Visage Technologies

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Centre for Innovation in Information Visualization and Data Driven Design (CIVDDD) is an Ontario Research Fund-Research Excellence grant, under which there is a project called Data Acquisition, Analysis, and Visualization for 3D Computer Vision Surgical Robotics. This project, led by Richard Wildes, is concerned with advancing computer vision and data visualization for image-guided robotic surgery.

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Drone walks dog. Drone Flies away with Dog. LOL!

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Drone fly-away! Drone walks dog. Drone Flies away with Dog. (no animals were hurt while filming - this is an animation!)

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A 'robot' doctor called Watson has been pitted against a panel of 15 leading medics – and found to be just as good as them at treating cancer.

In a development that will send a chill down the spine of health professionals everywhere, the IBM-designed computer program worked out the best way to treat patients in a fraction of the time that it took the highly paid specialists.

Working together, 15 consultant oncologists took 12 minutes on average to recommend a treatment plan for each patient. But it took the supercomputer, dubbed Watson For Oncology, just 40 seconds.

Man and machine were each given notes from 638 former breast cancer patients to assess – minus one vital piece of information: the treatment plan their doctors had chosen.

In nine out of ten cases of early-stage breast cancer, both human and artificial intelligence came up with identical recommendations, according to the results of the study.

Read more: http://www.dailymail.co.uk/news/article-4021288/The-robot-diagnose-cancer-Supercomputer-dubbed-Watson-treat-disease-40-seconds-faster-15-leading-medics-working-together.html#ixzz4v2Mpt8U7
Follow us: @MailOnline on Twitter | DailyMail on Facebook

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IBM-designed computer program works out the best way to treat patients

Man and machine assessed notes from 638 former breast cancer patients

15 consultant oncologists took 12 minutes, robot took 40 seconds

A 'robot' doctor called Watson has been pitted against a panel of 15 leading medics - and found to be just as good as them at treating cancer.

In a development that will send a chill down the spine of health professionals everywhere, the IBM-designed computer program worked out the best way to treat patients in a fraction of the time that it took the highly paid specialists.

Working together, 15 consultant oncologists took 12 minutes on average to recommend a treatment plan for each patient. But it took the supercomputer, dubbed Watson For Oncology, just 40 seconds.

Man and machine were each given notes from 638 former breast cancer patients to assess - minus one vital piece of information: the treatment plan their doctors had chosen.

In nine out of ten cases of early-stage breast cancer, both human and artificial intelligence came up with identical recommendations, according to the results of the study.

Watson, which works in a similar way to mobile phone personal assistants such as Siri, has been 'taught' to weigh up evidence by doctors at the world-renowned Memorial Sloan Kettering Cancer Centre in New York.

It has already assimilated 200 medical textbooks, the case files of four million patients, and has access to cutting-edge research.

Cancer expert Dr Andrew Nordon, deputy chief health officer at IBM Watson Health, said: 'It doesn't get tired, it isn't susceptible to human biases, and it has a limitless capacity.'

But Watson and the human panel had to agree to differ when it came to treating more advanced disease, where breast cancer had spread. In such cases they disagreed 55 per cent of the time. Dr Nordon also conceded: 'It can't look a patient in the eye and understand their emotional state - yet.'

Nevertheless, Watson is already being used in a number of leading US cancer centres, and some in India and Thailand.

But top UK cancer doctor Professor Jack Cuzick remained unfazed. He said: 'Real doctors will always be one step ahead of a machine that can only review data retrospectively.'

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Barney Calman In San Antonio, Texas For The Mail On Sunday

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The robot that can diagnose cancer in 40 seconds

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IBM-designed computer program works out the best way to treat patients Man and machine assessed notes from 638 former breast cancer patients 15 consultant oncologists took 12 minutes, robot took 40 seconds A 'robot' doctor called Watson has been pitted against a panel of 15 leading medics - and found to be just as good as them at treating cancer.

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For some, the spread of artificial intelligence and robotics poses a threat to our privacy, our jobs - even our safety, as more and more tasks are handed over to silicon-based brains.

But even the most vocal critics highlight the potential good that AI and automated systems could do for humanity. As part of BBC Future Now's Grand Challenges, a panel of experts recently described how they saw our world changing as the machines we use grow smarter.

Now, in our Grand Ideas series, BBC Future Now has sought out projects where advanced AI and automation is already beginning to tackle some of the world's knottiest, and dangerous, problems, from illnesses to violence.

"We should view AI not as something competing with us, but as something that can amplify our own capabilities," says Takeo Kanade, a professor of robotics at Carnegie Mellon University. This is because AI has a tolerance for tedium, plus an ability to spot patterns - an ability that's far beyond anything humans are capable of.

And it might what will help keep us safe in the 21st Century.
Combating infectious diseases
For billions of people around the world, the buzz of a mosquito past their ear can mean far more than an irritating bite - it can be a harbinger of disease and even death. One species in particular - Aedes aegypti - has spread from Africa into almost all tropical and subtropical regions, carrying Dengue fever, yellow fever, Zika and chikungunya(a virus that causes crippling joint pains) with it. Dengue alone infects an estimated 390 million people every year in 128 countries.

"This mosquito is a tiny demon," says Rainier Mallol, a computer engineer from the Dominican Republic, a Zika hotspot. Together with Dhesi Raja, a medical doctor from Malaysia (another at-risk country for the virus), the pair have created AI algorithms that predict where outbreaks are most likely to happen.

Their Artificial Intelligence in Medical Epidemiology (Aime) is a system that combines the time and location of each new dengue casefrom reports filed by local hospitals with 274 other variable factors - such as wind direction, humidity, temperature, population density, housing type. "These are all factors that determine how the mosquito will spread," explains Mallol.

Trials in Malaysia and Brazil have so far shown it can predict outbreaks with an accuracy of around 88% up to three months in advance. The system can also help to pinpoint the epicentre of an outbreak to within 400 metres, allowing public health officials to intervene early with insecticides and bite protection for locals.

Aime is also being extended to predict Zika and chikungunya outbreaks. And huge tech companies are pursuing their own vision of this grand idea: for example, Microsoft's Project Premonition uses autonomous drones to locate mosquito hotspots and use robotic carbon dioxide and light traps to collect some of the insects. DNA from the mosquitoes, and the animals they have bitten, can then be analysed using machine learning algorithms - software that learns to recognise patterns from large amounts of data, getting better and better each time - to search for pathogens.
Tackling gun violence
There were 15,000 deaths due to firearms in the US last year, and the country has the highest rate of gun-related violence in the developed world. To address what many see as an unrelenting tide of shootings and gun-related crime, a number of cities are now turning to technology to find a solution.

An automated system that listens for the sounds of gunfire with arrays of sensors can be used to pinpoint where gunshots came from and alert the authorities within 45 seconds of the trigger being pulled. The ShotSpotter system uses 15 to 20 acoustic sensors per square mile to detect the distinctive "pop" of a gunshot, using the time it takes to reach each sensor to and uses algorithms to reveal the location to within 25 metres.

Machine learning technology is used to confirm the sound is a gunshot and count the number of them, revealing whether police might be dealing with a lone shooter or multiple perpetrators and if they are using automatic weapons.

There are 90 cities - many in the US but some in South Africa and South America - now using ShotSpotter with others in discussions. Smaller systems have also been deployed on nine college campuses in the US in response to recent campus shootings while the US Secret Service has installed it at the White House.

But Ralph Clark, chief executive of ShotSpotter, believes the system could in the future be used for more than simply responding to incidents.

"We are keen to see how our data can inform more predictive policing opportunities," he says. "Machine learning can combine it with weather, traffic data, property crime data to inform the deployment of police patrols more precisely."
Keeping famine from the door

Around 800 million people worldwide rely upon cassava roots as their main source of carbohydrate. The starchy vegetable, which is similar to yam, is often eaten much like potatoes, but can also be ground into a flour for making bread and cakes. Its ability to grow where other crops do not has turned it into sixth-most-produced food plant in the world. But the woody shrub is also highly vulnerable to disease and pests, which can devastate entire fields of the vegetable.

Researchers at Makerere University in Kampala, Uganda, have teamed up with plant disease experts to develop an automated system aimed at combating cassava diseases. The Mcrops project allows local farmers to take pictures of their plants using cheap smartphones and uses computer vision that has been trained to spot the signs of the four main diseases that are responsible for ravaging cassava crops.

"Some of these diseases are really hard to recognise and require different action," explains Ernest Mwebaze, a computer technology researcher leading the project. "We are giving the farmers an expert in their pocket so they know if they need to spray their crops or rip them up and plant something else."

The system can now diagnose cassava diseases with 88% accuracy. Normally farmers have to call the government-employed experts to visit their farms to identify diseases, which can take days and even weeks, allowing pests and blights to spread.

MCrops also uses the uploaded images to look for patterns in disease outbreaks, something that could allow officials to halt epidemics that can lead to famine. Mwebaze and his colleagues are hoping to use technology to also look at banana diseases and to automate the detection of other crop pests.
Fighting cancer and sight loss

Cancer causes more than 8.8 million deaths worldwide and 14 million people are diagnosed with some form of cancer every year. Yet catching cancers as early as possible can greatly improve a patient's chances of survival and reduce the risk of the disease recurring. Screening is one of the key ways to spot cancers early, but trawling through scans and other test results is laborious.

But both DeepMind, owned by Google's parent company Alphabet, and IBM have been applying their AI technology to this problem. DeepMind has teamed up with UK National Health Service doctors at University College London Hospitals to train its AI help plan treatments for cancer by identifying areas of healthy tissue from tumours in head and neck scans. It is also working with Moorfields Eye Hospital in London to identify the early signs of sight loss in eye scans.

"Our algorithms are able to interpret visual information in the scans," says Dominic King, clinical lead at DeepMind Health. "The system learns how to identify potential issues and how to recommend the right course of action to a clinician. It's too soon for us to comment on the results yet but the early signs are very encouraging."

King says AI technology can help doctors identify cases faster by sifting through scan images and prioritising those that clinicians should look at most urgently.

IBM also recently announced its Watson AI can analyse images and assess patient notes to accurately identify tumours in up to 96% of cases. The system is being trialed by doctors at 55 hospitals around the world to help diagnose breast, lung, colorectal, cervical, ovarian, gastric and prostate cancers.
Keeping the lights switched on
As fresh debate rages as to whether climate change may have caused two back-to-back catastrophic hurricanes of historic proportions in the US, how can AI maximise our use of clean, renewable energy to prevent further damage that has questionable effects on our climate patterns?

People around the world are increasingly reliant upon renewables to combat climate change and the pollution caused by fossil fuels, and the task of balancing power supplies with such intermittent sources is getting harder. The spread of smart meters - digital energy monitors that automatically record usage - is also providing more data than ever about how and when consumers use energy. The EU alone plans to have 500 million smart metres in homes by 2020.

"Managing all these assets is impossible to do for a human controller, especially as response times required are often in the order of a few seconds," says Valentin Robu, an assistant professor of smart systems at Heriot Watt University in Edinburgh. He has been working with UK-based start-up Upside Energy to develop new ways of managing electricity grids.

They are building machine learning algorithms to monitor energy production and demand in real time. What does this mean? That energy can be stored during quiet times and then released at busy times, like first thing in the morning when everyone makes their morning coffee. As electric cars and battery units in people's homes become more common, the technology can use these to store energy and smooth out the bumps in renewable electricity supply.

Robu also says AI could be used at an even more basic level by helping to reduce the demand that our devices put on the grid. For example, refrigerators could be controlled remotely by AI so they enter chill cycles only at times when demand on the grid is low.

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Treating cancer, stopping violence... How AI protects us

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For some, the spread of artificial intelligence and robotics poses a threat to our privacy, our jobs - even our safety, as more and more tasks are handed over to silicon-based brains. But even the most vocal critics highlight the potential good that AI and automated systems could do for humanity.

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As far back as 3,500 years ago ancient Egyptian doctors were performing invasive surgeries. Even though our tools and knowledge have improved drastically over time, until very recently surgery was still a manual task for human hands.

When it came out about 15 years ago, Intuitive Surgical's da Vinci surgical robot was a major innovation. The da Vinci robot helps surgeons be more precise and dexterous and to remove natural hand tremors during surgery.

In the years since da Vinci first came out, many other surgical robots have arrived. And today there's a new generation coming online, like the Verb robot, a joint venture between Google and Johnson and Johnson. This means s urgery is about to get even more interesting. Surgical robotics will be able to do more than just improve dexterity and reduce incision size...

"We're on the verge of what we might call the second wave in surgical robotics," said Catherine Mohr , vice president of strategy at Intuitive Surgical, while speaking at Singularity University's Exponential Medicine conference this week.

Mohr believes this new wave of innovation will be characterized by the convergence of surgical robotics with AI and data gathered from robotic systems.

Surgery is about to get "digitized." We'll start collecting and analyzing data passing through these robotic systems, like motion tracking. "Once we can turn something into data, then we can start making exponential changes," Mohr said.

A problem "calling out for robotics"

China is currently on track to have a million lung cancer deaths a year. Lung cancer is surgically treatable, but only if it is found fast enough. And too often we're not finding it fast enough. Mohr says the problem of lung cancer detection is just calling out for robotics.

Currently, surgeons use a pre-operative image to search for cancer to remove, but the lungs are a moving target. So, to get to the cancer, surgeons deform the lungs on the way in and again on the way out because they are taking a different path. With surgical robotics, you can track the path in and use that same motion tracking data on the way out.

3 types of AI for surgery

We're also on the cusp of starting to incorporate various AI systems into surgical simulations and procedures. Mohr listed three types of AI she's personally interested in incorporating into surgical procedures.

IBM Watson: Watson is an expert-system type of AI. Watson can store more medical information than any single human can store and and give responses to natural language queries from surgeons. Watson (or AI like it) will become an intelligent surgical assistant.

Machine learning algorithms: Unsupervised pattern matching algorithms would aid doctors in recognizing when a sequence of symptoms results in a particular disease. Mohr says, "After all, what is medicine but really good pattern matching?"

AlphaGO: During its training, AlphaGo played itself over and over again until new patterns emerged. Mohr imagines we can bring these type of AI into surgical simulations to observe how people learn and to test new learning strategies to answer the question of "how do we take a novice to an expert?"

In closing, Mohr sketched out this next wave of AI and robotics in surgery as a tight partnership between humans and machines, with one making up for the weaknesses of the other.

"I tend to think of robotics as a platform. It's a platform which we have really advanced very far in terms of being able to reduce the invasiveness of the interventions," she said. "These next phases are all going to be about integrating a lot of these new technologies onto this platform and being able to potentiate them."
Want to keep up with coverage from Exponential Medicine? Get the latest insights here
Image credit: Shutterstock

Sveta writes about the intersection of biology and technology (and occasionally other things). She also enjoys long walks on the beach, being underwater and climbing rocks. You can follow her @svm118.

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The Future of Surgery Is Robotic, Data-Driven, and Artificially Intelligent

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As far back as 3,500 years ago ancient Egyptian doctors were performing invasive surgeries. Even though our tools and knowledge have improved drastically over time, until very recently surgery was still a manual task for human hands. When it came out about 15 years ago, Intuitive Surgical's da Vinci surgical robot was a major innovation.

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University of Pennsylvania School of Veterinary Medicine

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UPenn's School of Veterinary Medicine comprises two top specialty veterinary hospitals, research centers, clinical trials, and the VMD.

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The University of Pennsylvania School of Veterinary Medicine (Penn Vet) is the first veterinary teaching hospital in the world using the EQUIMAGINE™ system, which has clinical and research applications for both animal and human medicine. 

New Bolton Center veterinarians are developing the application-related protocols for use of the system with large animals, in collaboration with Four Dimensional Digital Imaging (4DDI), the company behind the innovation of the system. ABB, a leading global manufacturer of industrial robots, supplies the robots and many of the control components used in 4DDI systems.

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Ny teknik prickar rätt 99 gånger av 100.

Forskare vid Houston Methodist Research Institute har konstruerat en artificiell intelligens som är väldigt skicklig på att upptäcka bröstcancer.

Stephen Wong, som står bakom undersökningen, säger till Science Daily att mjukvaran konstruerats för att kontinuerligt bli smartare, och att den kan gå igenom flera miljoner journaler på mycket kort tid.

På så sätt kan den artificiella intelligensen genom att jämföra med en enorm databas av både forskning och tidigare cancerprover bättre fastslå om kvinnors mammografier avslöjar antingen cancer eller risk för cancer.

30 gånger snabbare

Genom att analysera och samköra läkarnas journalanteckningar, forskning och patientens personliga sjukdomshistoria kan mjukvaran nu diagnosticera bröstcancer med 99-procentig precision.

Det är 20 gånger mer exakt än vad läkare av kött och blod klarar av.

I det senaste försöket testade forskarna mjukvaran på 500 bröstcancerpatienter, och på några timmar hade den artificiella intelligensen identifierat alla kvinnornas specifika undergrupper av cancer - 30 gånger snabbare än läkarna.

Varannan blir rädd

Mammografi är en flitigt använd metod för att upptäcka bröstcancer i många länder. Metoden har dock sina brister, och i USA får varannan kvinna efter ett prov reda på att de kanske har cancer.

Det nya tekniken ska även förhindra att ett stort antal kvinnor kallas till uppföljande biopsier, som är onödiga, eftersom läkarnas misstanke om cancer är ogrundad.

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Forskare vid Houston Methodist Research Institute har konstruerat en artificiell intelligens som är väldigt skicklig på att upptäcka bröstcancer. Stephen Wong, som står bakom undersökningen, säger till Science Daily att mjukvaran konstruerats för att kontinuerligt bli smartare, och att den kan gå igenom flera miljoner journaler på mycket kort tid.

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NASA's New Robot Could Help Save Lives In Disaster Zones

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NASA has unveiled its newest, coolest-looking robot, and it could help rescue teams save lives in disaster situations.

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New technology will benefit animals and humans

[April 27, 2016; Kennett Square, PA] - Penn Vet's New Bolton Center has completed installation of a revolutionary robotics-controlled imaging system for use in the standing and moving horse, and in May will start exploring limited diagnostic imaging on patients.

The University of Pennsylvania School of Veterinary Medicine (Penn Vet) is the first veterinary teaching hospital in the world using the EQUIMAGINE™ system, which has clinical and research applications for both animal and human medicine.

New Bolton Center veterinarians are developing the application-related protocols for use of the system with large animals, in collaboration with Four Dimensional Digital Imaging (4DDI), the company behind the innovation of the system. ABB, a leading global manufacturer of industrial robots, supplies the robots and many of the control components used in 4DDI systems.

Penn Vet experts are working with colleagues at Penn Medicine and Nemours Children's Health System to identify and develop applications in human medicine. There is great potential, in particular, for the musculoskeletal system such as joints and the spine, cardiovascular interventions, and pediatrics, primarily because of the ability to obtain high-quality images while the patient is in motion.

"We think the system is not only beneficial to horses, but also will have translational benefits for people," said Dr. Barbara Dallap Schaer, Medical Director of New Bolton Center, the large-animal hospital of the University of Pennsylvania School of Veterinary Medicine.

"This effort is a collaboration," she said. "We are trying to bring together all of our strengths at Penn to be truly transformational."

The EQUIMAGINE™ imaging system arrived at New Bolton Center in February and has been going through a complex installation process, with a team of experts working on initial application-related tuning and testing for use with a standing horse.

The system is capable of capturing the equine anatomy in a way never before possible, while the horse is awake and load-bearing. Existing computed tomography (CT) systems usually require the horse to be anesthetized, and are limited to the parts of the animal that fit into the cylindrical machines.

"The robots can easily move all around the horse in any orientation while the horse is standing, so we can see many parts of the anatomy we've never seen before, and do it in a patient that is awake," Dallap Schaer said.

The robotics-driven technology unites automation with powerful algorithms that can perform multiple modalities, unencumbered by an enclosed gantry or a C-arm, making it possible to scan any part of the horse.

The robot-powered imaging modality can collect typical, two-dimensional CT images; create three-dimensional images; produce 360-degree digital radiographic studies; and capture fluoroscopic images at up to 16,000 frames per second. Tomosynthesis, a modality that produces extremely high-resolution images of a focused area of clinical interest, will be explored in the near future. Eventually, researchers, clinicians, and engineers hope to program the robots to capture images of a horse running on a treadmill.

The quality and resolution of the real-time images created with the EQUIMAGINE™ system far exceeds existing technology, experts from Penn Vet and 4DDI say. And the system makes imaging much more efficient and effective. The three-dimensional scans take less than a minute, a fraction of the time it takes to produce multiple static images that have limited diagnostic value.

Most specialists at New Bolton Center will be able to take advantage of the technology, including but not limited to those in surgery, sports medicine, neurology, cardiovascular medicine, and internal medicine.

"The possibilities are almost unlimited in terms of the conditions that can be addressed with this system," Dallap Schaer said.

Dr. Dean Richardson, Chief of Surgery at New Bolton Center, is providing surgical expertise for the further refinement of the new system, especially with respect to orthopedics. Richardson has vast experience using CT imaging during surgery to treat horses with serious fractures.

"Three-dimensional imaging provides the opportunity to be more precise in our treatments. That's a big step forward," Richardson said. "The goal in veterinary and human medicine is to provide less invasive and more precise surgical procedures."

The images from the new system are much more detailed, Richardson said, and can help to identify not only a fracture, but also its specific characteristics: location, depth, and breadth. He expects the new technology will help prevent injuries, especially in racehorses, by allowing early detection of fractures.

"We have a lot to learn about this technology," Richardson said. "Three-dimensional imaging opens new doors to diagnosis and treatments. We are very excited to be on the forefront of those discoveries."

The system will be important not only for clinical use in the hospital, but also for research and teaching.

Penn Vet researchers and clinicians are in discussions with colleagues at Penn Medicine, Nemours Children's Health System, and other human medical centers about possible applications of the new imaging system.

The ability to obtain high-quality images of a joint in motion, or the spine, or the head, could open up vast possibilities of discovery in the areas of diagnosis, treatment, and medical product development. In pediatric patients, it would allow imaging of a child while awake and moving, rather than under general anesthesia or while restrained.

"This technology enables us to push the 'One Health' research frontiers in imaging to better understand potential new pathologies that haven't been detected before," said Dr. Thomas Schaer, Director of Penn Vet's Preclinical Service Core & Translation in Orthopedic Surgery, who is leading the translational research efforts.

There are great possibilities for teaching, as well. "Three-dimensional imaging is an enormously valuable tool in teaching anatomy, and there is nothing more important in the education of a medical specialist than understanding anatomy," Richardson said.

New Bolton Center was chosen by 4DDI as the beta site because the veterinary experts are willing to collaborate to develop the protocols for use with large animals, said Nicholas Hunt, Chief Technology Officer for 4DDI.

"At 4DDI we are excited that New Bolton has chosen EQUIMAGINE™ to develop these new technologies," said Hunt, who has led the team doing the installation.

The horse is probably "the most sophisticated and difficult patient we will ever encounter," because of the size and complexity of the animal, as well as the need to correct for motion, said Yiorgos Papaioannou, 4DDI Chief Executive Officer.

"If we are able to tackle and solve the challenges with the horse, the technology could be easily transferred to other domains of imaging, in humans, or small animals," he said. "It's a great opportunity for us to validate our work with renowned academics, surgeons, radiologists, and radiographic technicians."

Christos Mitrogiannis, a specialist from 4DDI, will work with New Bolton Center clinicians during the first year to further the application capabilities of the system. In addition, radiologist Dr. Chris Ryan is now on New Bolton Center's staff as part of the project, dedicated to interpreting the new digital images.

"My goal is to help bring this new robotic imaging modality from the research and development phase to every day clinical use," Ryan said.

The acquisition of the system was funded in part by a generous gift from the estate of Mimi Thorington. The purchase includes four robots: the two large units now installed in New Bolton Center's treadmill building, and two smaller units to be installed near New Bolton Center's orthopedic surgery suite this year. Additional gifts will help to integrate the new technology into the clinical and research programs at New Bolton Center.

"New Bolton Center has a history of advancing equine surgery and medicine," Richardson said. "This system is just one more tool that will prove New Bolton Center is on the forefront of veterinary medicine."

For more information, visit www.vet.upenn.edu/equimagine. Members of the media can download video, images, and press kit materials at www.vet.upenn.edu/equimagine-press.

About 4DDI
4DDI's technology was developed over the past decade as a solution to address many of the shortcomings and limitations of conventional imaging technology. Originally intended for human application, 4DDI's robotics-controlled imaging system has been adopted for animal and industrial applications. Its innovative employment of industrial robots to manipulate the imaging apparatus, coupled with 4DDI's proprietary software, provides an unlimited scanning geometry capable of producing images of an unprecedented quality and resolution. For more information, visit www.equine4ddi.com.

About ABB Robotics ABB Robotics is a leading supplier of industrial robots - also providing robot software, peripheral equipment, modular manufacturing cells, and service for tasks such as welding, handling, assembly, painting and finishing, picking, packing, palletizing, and machine tending. Key markets include automotive, plastics, metal fabrication, foundry, electronics, machine tools, pharmaceutical, and food and beverage industries. A strong solutions focus helps manufacturers improve productivity, product quality, and worker safety. ABB has installed more than 250,000 robots worldwide. For more information, visit www.abb.com/robotics

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New technology will benefit animals and humans [April 27, 2016; Kennett Square, PA] - Penn Vet's New Bolton Center has completed installation of a revolutionary robotics-controlled imaging system for use in the standing and moving horse, and in May will start exploring limited diagnostic imaging on patients.

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The future mobility of the world population

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The future mobility of the world population

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Abstract
On average a person spends 1.1 h per day traveling and devotes a predictable fraction of income to travel. We show that these time and money budgets are stable over space and time and can be used for projecting future levels of mobility and transport mode. The fixed travel money budget requires that mobility rises nearly in proportion with income. Covering greater distances within the same fixed travel time budget requires that travelers shift to faster modes of transport. The choice of future transport modes is also constrained by path dependence because transport infrastructures change only slowly. In addition, demand for low-speed public transport is partially determined by urban population densities and land-use characteristics. We present a model that incorporates these constraints, which we use for projecting traffic volume and the share of the major motorized modes of transport—automobiles, buses, trains and high speed transport (mainly aircraft)—for 11 regions and the world through 2050. We project that by 2050 the average world citizen will travel as many kilometers as the average West European in 1990. The average American's mobility will rise by a factor of 2.6 by 2050, to 58,000 km/year. The average Indian travels 6000 km/year by 2050, comparable with West European levels in the early 1970s. Today, world citizens move 23 billion km in total; by 2050 that figure grows to 105 billion.

Keywords: Mobility; Scenarios; Forecasting; Automobiles; Aircraft; Buses; Railroads

http://zl7zn5jl8u.search.serialssolutions.com/?ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+future+mobility+of+the+world+population&rft.jtitle=Transportation+Research+Part+A&rft.au=Schafer%2C+Andreas&rft.au=Victor%2C+David+G&rft.date=2000&rft.pub=Elsevier+Ltd&rft.issn=0965-8564&rft.eissn=1879-2375&rft.volume=34&rft.issue=3&rft.spage=171&rft.epage=205&rft_id=info:doi/10.1016%2FS0965-8564%2898%2900071-8&rft.externalDocID=doi_10_1016_S0965_8564_98_00071_8&paramdict=sv-SE

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The potential of interconnected service marketplaces for future mobility

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The potential of interconnected service marketplaces for future mobility

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Abstract
Mobility currently evolves far beyond owning a car or using public transit services. Passenger transport can be managed by mobility providers by combining and extending various mobility services either directly or by using available mobility service platforms. This paper evaluates the capabilities and technical features of existing mobility service platforms with a special focus on electric mobility. Based upon this evaluation, criteria are presented which future platforms should address. As part of this work, a marketplace approach is developed which addresses the identified criteria. Potential marketplace architectures are presented which are deemed to establish marketplace interconnectivity. The developed marketplace approach and the proposed architectures contribute to the vision of an interconnected service ecosystem for mobility services.

Keywords: Service marketplaces; Electric mobility; Interconnected marketplaces; Marketplace architectures; Mobility services

http://zl7zn5jl8u.search.serialssolutions.com/?ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=The+potential+of+interconnected+service+marketplaces+for+future+mobility&rft.jtitle=Computers+%26+Electrical+Engineering&rft.au=Strasser%2C+Michael&rft.au=Weiner%2C+Nico&rft.au=Albayrak%2C+Sahin&rft.date=2015-07-01&rft.issn=0045-7906&rft.eissn=1879-0755&rft.volume=45&rft.spage=169&rft.epage=181&rft_id=info:doi/10.1016%2Fj.compeleceng.2015.06.008&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_compeleceng_2015_06_008&paramdict=sv-SE

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Design for Mobility - A Customer Value Creation Approach

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Design for Mobility - A Customer Value Creation Approach

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Abstract
It is a global trend nowadays for manufacturing and service firms to create and increase customer value either during initial design of a product/service or by modifying their existing products/service. When a product already exists, customer value can be increased by adding new qualities/features to a traditional product that would add much needed services while keeping price competitive. Qualities, such as foldability and mobility when product is not in use, are examples of creating and improving customer value. This paper presents a design model that helps designers incorporate foldability, mobility and personalization in a regular product design.

Keywords: Design for Mobility; Value Creation; Foldability; Ease of Folding; Cladistics

http://zl7zn5jl8u.search.serialssolutions.com/?ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Design%20for%20Mobility%20%E2%80%93%20A%20Customer%20Value%20Creation%20Approach&rft.jtitle=Procedia%20CIRP&rft.au=ElMaraghy%2C%20Hoda&rft.date=2014&rft.issn=2212-8271&rft.eissn=2212-8271&rft.volume=16&rft.spage=128&rft.epage=133&rft_id=info%3Adoi%2F10.1016%2Fj.procir.2014.01.016&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_procir_2014_01_016&paramdict=sv-SE

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Vetenskapliga referenser på temat mobiltet

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Vetenskapliga referenser på temat mobiltet

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Populärkulturen, dagspress, film, litteratur etc i förhållande till begreppet mobilitet

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Populärkulturen, dagspress, film, litteratur etc i förhållande till begreppet mobilitet

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Tid - Nutid och framtid
Fysik - Levererar varor
Bakgrund - Snabb och säkrare leverans - smidigt
Vara - Smidig artefakt med propeller
Rum - Flyger från en plats till en annan
Digitalt - Drönare och liten helikopterplatta
Förgrund - Beställning av snabb leverans
Person - Beställaren av varan

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Amazon Prime Air’s First Customer Delivery

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Tid - Framtid
Fysik - Robotar som har inlärda beteenden precis som människan
Bakgrund - Spelaren kan bestämma vad den vill utföra för handlingar både i spelet och i uppdragen
Vara - Robot, operativsystem
Rum - Spelarena i vilda western
Digitalt - Robotarna går på autopilot dvs går alltid på samma bana, dem styrs även via ett operativsystem
Förgrund - Spelaren möter människorobotarna som lockar till sig dem och tar med dem på uppdrag
Person - Spelarna i spelarenan

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Tid - Framtid
Fysik - Rymdskepp samt fordon i rymdterräng
Bakgrund - Rymdskeppet som ska hämta/rädda honom är ur hans kontroll
Vara - Datorer och andra tekniska system som används för att kontakta dem på Jorden
Rum - I rymden, på Mars
Digitalt - Fordon och rymdskepp som styrs digitalt
Förgrund - Han styr fordonen och rymdskeppet
Person - Mark Watney som ska ta sig tillbaka till Jorden.

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Tid - Framtid
Fysik - Hjälpmedel via fallskärm
Bakgrund - Spelaren måste fånga eller ta emot paketet
Vara - Hjälp som medicin kan komma i små paket med fallskärm och vapen kan placeras ut här och där.
Rum - Spelarenan där Hunger Games utförs
Digitalt - Spelplanen är uppbyggd digitalt och spelledaren kan skapa faror eller hjälpmedel via digitalisering
Förgrund - Spelledaren väljer vem han vill skicka hjälp till
Person - Person som gjort sig förtjänst av hjälp eller behöver drivas på i spelet

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Westworld Season 1 Official Trailer (2016) | HBO (MATURE)

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"Set at the intersection of the near future and the reimagined past, explore a world in which every human appetite, no matter how noble or depraved, can be indulged without consequence."
http://www.imdb.com/title/tt0475784/

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The Hunger Games - Official Trailer (2012) HD Movie

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THE MARTIAN |  Bring him Home | Official Trailer | HD

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Visit us on Facebook https://www.facebook.com/gigapicture During a manned mission to Mars, Astronaut Mark Watney is presumed dead after a fierce storm and left behind by his crew. But Watney has survived and finds himself stranded and alone on the hostile planet.

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"An astronaut becomes stranded on Mars after his team assume him dead, and must rely on his ingenuity to find a way to signal to Earth that he is alive."
http://www.imdb.com/title/tt3659388/?ref_=nv_sr_1

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"Katniss Everdeen voluntarily takes her younger sister's place in the Hunger Games: a televised competition in which two teenagers from each of the twelve Districts of Panem are chosen at random to fight to the death."
http://www.imdb.com/title/tt1392170/?ref_=nv_sr_1

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Tid - Framtid
Fysik - Färdmedel, hjälpmedel
Bakgrund - Rullstolen klättrar åt personen
Vara - Teknisk rullstol
Rum - Klättra, röra sig framåt
Digitalt - Styr med hjälp av teknologi
Förgrund - Ta sig upp och ner i trappor
Person - Person som är förlamad eller har svårt att gå

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Prime Air är ett system, designat av Amazon, som ska kunna leverera dina beställningar inom 30 minuter via drönare.
https://www.amazon.com/Amazon-Prime-Air/b?node=8037720011

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En produkt som ännu är under utveckling - en smidig rullstol som kan klättra uppför trappor och lätt ta sig av/ur transportmedel utan hjälp.
https://scewo.ch/

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Tid - Snar framtid
Fysik - Färdmedel
Bakgrund - Miljövänligare och smidig
Vara - Eldriven bil
Rum - På vägen, från en plats till en annan, i rörelse
Digitalt - Navigation via smartphone
Förgrund - Smidig stadskörning i en liten bil
Person - Körkort, stadstrafik

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Microlino är en eldriven bil skapad av Wim Ouboter med hjälp av hans två söner. De fick idén att förnya en 1950-årsmodell Isetta eftersom den är liten, smidig samt lättstyrlig  och därför passar perfekt till stadstransport och underlättar att hitta parkeringsplats. Den är endast till för att färdas en kortare sträcka med ett förar- och ett passagerarsäte samt ett utrymme bakom dem för deras bagage.
http://www.micro-mobility.com/en/experience-micro/microlino

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Designföretag/designers som på ett intressant sätt arbetar med lösningar inom mobilitet

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Designföretag/designers som på ett intressant sätt arbetar med lösningar inom mobilitet

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Microlino - Change urban mobility - Lifestyle and Prototype #2

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Lifestyle shots with the electrified Isetta and production of the first Microlino prototype.