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Caption Health: https://captionhealth.com

Suki AI: https://www.suki.ai

Infermedica: https://infermedica.com

Ada Health: https://ada.com

IBM Watson for Health: https://www.ibm.com/watson-health

Tempus: https://www.tempus.com

Doximity Dialer + AI: https://www.doximity.com/dialer

Twill (formerly Happify Health): https://twill.health

ChatGPT: https://chat.openai.com

DALL·E / Midjourney: https://openai.com/dall-e / https://www.midjourney.com

GitHub Copilot: https://github.com/features/copilot

Oxford Medical Simulation: https://oxfordmedicalsimulation.com

Synthesia: https://www.synthesia.io

Glass Health: https://glass.health

Replika: https://replika.com

ElevenLabs: https://www.elevenlabs.io

Runway ML: https://runwayml.com

Quizlet AI / MagicSchool AI: https://quizlet.com / https://magicschool.ai

Heidi Health: https://www.heidihealth.com

Nuance DAX: https://www.nuance.com/healthcare/ambient-clinical-intelligence.html

Glass Health: https://glass.health

Aidoc: https://www.aidoc.com

PathAI: https://www.pathai.com

Viz.ai: https://www.viz.ai

Butterfly iQ+: https://www.butterflynetwork.com/iqplus

Caption Health: https://captionhealth.com

Chester AI Assistant: https://www.deepc.ai/chester (archived project, may redirect or be retired)

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Voice assistant to quicken doccumenation for clinicians

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Suki is an AI-powered voice assistant that lifts the administrative burden from clinicians, so they have time to focus on what matters - patient care.

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PathAi, pathology AI to look at histology slides 

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PathAi, pathology AI to look at histology slides 

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PathAI is evolving pathology using machine learning and deep learning techniques to drive faster more accurate diagnosis of disease.

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Provides AI-guided support for mental health, stress and management of chronic conditions

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Wellness, born from science.Happify began with the idea that we could reach people by combining evidence-based principles of cognitive behavioral therapy, mindfulness, and positive psychology with best practices from the game industry. Happify improves mental health and wellness, and supports individuals, organizations, and populations.

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Documents notes

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Nuance DAX Infographic | Move Beyond Scribes | Nuance

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Discover why AI is more effective than medical scribes and explore how to automatically document care with Nuance DAX.

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NOT FOR MEDICAL USE. This is a prototype system for diagnosing chest x-rays using neural networks. All processing is done on your device and images are not sent to the server. If you continue you assume all liability when using the system. A neural network model (~150mb) will be downloaded to your browser. Accept NOT FOR MEDICAL USE

By Joseph Paul Cohen, Paul Bertin, and Vincent Frappier 2019Download the offline version for
Mac OSX or Windows (64-bit)

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In order to bridge the gap between AI researchers and medical professionals we developed a very accessible free prototype system which can be used by medical professionals to understand the reality of Deep Learning tools for chest X-ray diagnostics.

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https://www.butterflynetwork.com/int/en-uk/iq3?utm_source=google&utm_medium=cpc&utm_campaign=&campaignid=21245489406&adgroupid=165427061201&targetid=kwd-445177644626&creative=712246418091&placement=&gad_source=1&gad_campaignid=21245489406&gbraid=0AAAAACxX536qt8GzStTLTBZ-ZW2z6FDg2&gclid=CjwKCAjwgb_CBhBMEiwA0p3oOKhq6sg0-D0UnfdN8VLuWqIj3OSCgTN1tdnP239hVYXqv9aPb6TayhoCuG8QAvD_BwE

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iQ3 Ultrasound | The clear answer in point-of-care ultrasound.

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Meet Butterfly iQ3: our easiest-to-use POCUS device with the sharpest image quality, rapid data processing, AI, advanced imaging tools, and fast scan time.

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Always here to listen and talk. Always on your side. Join the millions growing with their AI friends now!

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Ada - understanding of symptoms and condition from patient perspective.

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https://glass.health

can provides clinical diagnosis, treatment based on input

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PathAI is evolving pathology using machine learning and deep learning techniques to drive faster more accurate diagnosis of disease.

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Platforms for chatbots:

ChatGPT Custom GPTs -

Amboss - USA

GitHub

Google - DialogFlow

MS Bot Framework

---------------------------

A GPT can be an AI agent, but not all AI agents are GPTs.

Difference between GPT and Agent -

A GPT becomes part of an AI agent when it's embedded in a system with sensors and actuators. It interacts with tools and APIS -- reads a user's calendar and schedules .

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Analogy:

GPT = Like a really smart librarian: you ask questions, it gives you answers.

Agent = Like a study tutor: it picks what you need to revise, quizzes you, gives you tasks, and adapts over time.

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Chatbot consisting of both 'rule-based responses' (pre-written FAQ's and knowledge) and AI chatbot interactions. So can answer basic questions and more complex situations using machine learning or AI and context-based on conversation to answer queries.

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Examples include ChatGPT, Deepseek, MS CoPilot, customer service chatbots. These types of chatbots use AI to create new content (such as text, images, music and audio) based on large sets of data that it has been trained on.

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Essentially, they're relatively simple 'chatbots', defined as 'a type of chatbot that guide users through a conversation using clickable options (menus or buttons) rather than requiring the user to type responses freely. These bots are more like interactive forms than true conversational AI.'

Examples include;

Customer support chatbots

Chatbots when ordering food online

Booking appointments online

SO, just to clarify, these types of chatbots have:

Predefined paths: Users choose from pre-set options, and each button leads to another step or submenu.

No natural language processing (NLP) needed: The chatbot doesn’t “understand” your text — it just reacts to your clicks.

Decision trees: The flow is built like a tree with branches based on user choices.

Faster and safer: Great for simple tasks like booking appointments or FAQs, since users can’t go “off-script.”

So, they're just very very simple, personally wouldn't consider them to be 'real' AI

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Definition:
A rule-based chatbot follows predefined rules and logic (like decision trees or if-then conditions) to answer specific user inputs. It does not use AI or machine learning and cannot adapt to new questions.

Responds based on keywords or button choices

Doesn’t learn or improve over time

Works well for simple, repetitive tasks

Fails with unexpected input or complex queries

Example:

User: "I want to book an appointment."
Bot: "What type of appointment? (1) GP, (2) Dental, (3) Eye Test"
User: "Dental"
Bot: "Please choose a time: 10am, 2pm, or 4pm."

→ If the user says "I need help with my teeth," the bot won’t understand unless that exact phrase is programmed in.

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A voice based chatbot is a program that uses speech recognition and speech synthesis to allow users to communicate using spoken language and responds with a human like voice. Eg. OpenAI voice mode

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🔹 What is an AI‑Powered Chatbot?
A conversational agent using NLP and machine learning to understand user input and respond naturally—far beyond simple rule-based bots.

🔹 Top AI Chatbots & Their Uses:

ChatGPT (OpenAI): Versatile—writing, coding, creativity, image generation.

Google Gemini: Multimodal assistant integrated with Google Workspace.

Grok (xAI): Edgy, social-media style assistant embedded in X (Twitter).

DeepSeek: China-based open-source chatbot app—cost-effective and quick to train.

Microsoft Copilot: Productivity assistant built into Microsoft Office and Bing.

Character.ai: Custom, personality-driven AI “characters.”

Replika: Virtual friend/companion for emotional support.

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Most people today have heard about ChatGPT, a form of generative artificial intelligence (AI) that uses a chatbot to "converse" with users by creating content that responds to their questions or prompts. For medical educators, this emerging technology can bring real value to their classrooms and clinical teaching activities-but only if they understand how best to embrace the potential while sidestepping the risks and challenges of generative AI.

"Teaching with technology is an important topic right now. With the growing popularity of social platforms, virtual reality, simulation, blockchain technology, and artificial intelligence (AI), many medical educators have pressing questions about what these advances might mean for their future and how to leverage them most effectively," explains Jeremy Richards, MD, MA, FACP, ATSF, who serves as chair of the department of medical education for Mount Auburn Hospital. Richards is also the program director of Harvard Medical School's Training to Teach in Medicine, a six-month certificate program that prepares clinical educators from around the world to instruct the next generation of medical professionals.

A Growing Role in Medical Education for Emerging Technologies

Richards points out that since the onset of the COVID-19 pandemic, there has been growing acceptance of using technologies like Zoom and Teams to facilitate remote medical education through both live and pre-recorded sessions. But many clinician instructors are less familiar with other emerging technological tools and unaware of how to use them effectively in medical education.

That's why as the technology options continue to grow, educators need to augment their own knowledge of the latest offerings so they can utilize them for the best results-from engaging learners in the course material in a more concrete way and offering hands-on training in a virtual setting, to navigating the potential challenges AI and other emerging technologies pose.

How Medical Educators Can Use AI and Other Technologies

Richards shares five recommendations to help educators embrace and apply the latest technologies effectively.

1. Leverage social media platforms to engage learners. Popular social media platforms provide a forum through which to share medical education, in part because the brief format of posts can encourage teachers to break down their content into bite-sized chunks, which can be easier for students to digest, Richard says. Social media platforms also make it easy for users to interact with the information and with peers, creating the opportunity for deeper dialogue. In addition, teachers can use social media channels to provide students with easy-to-access links to reading lists, studies, and other helpful resources.
Another important way educators can use social media channels is to host virtual classrooms, real-time chats, and polls that engage participants and capture their views. Richard says that many of the popular social media platforms have a robust following from the medical community, likely due to the ease of use and the ability to interact with different forms of content and with colleagues and peers.

2. Utilize virtual reality (VR) and augmented reality (AR) to offer training opportunities. Both VR and AR have become more mainstream in recent years. VR uses a special headset or glasses to produce a computer-generated environment that feels realistic to the viewer, while AR enhances a real-world setting by superimposing virtual elements experienced directly through a smartphone or other device. "Even though it can be challenging to get headsets and to build the software required to experience VR and AR, the benefits these technologies bring to medical students can be well worth the effort involved," Richard says.
For instance, you can use VR and AR to create a virtual operating room (OR) and allow students to practice "operating" using special tools that mimic the feel of conducting a live surgery. "Instead of practicing operating on a mannequin as we did in the past, the VR experience can transfer that exposure into something that looks and feels like a real person. This is a much more immersive experience and brings deeper value to the student," Richard says.

3. Create simulations for experiential learning. In the simplest terms, simulation refers to using aids to create a set of artificial conditions that medical students can use to build and practice their clinical skills. For instance, the educator may create a simulated exam room and "patient" that enables students to engage in a host of scenarios and try different actions without fear of harming or upsetting a real patient. Simulated experiences are often videotaped so the educator can debrief with the students. Richards adds that simulation doesn't replace real-life experiences but, rather, can be another resource to enhance them and increase the student's competency in key skills. Furthermore, while simulation-based medical education is usually associated with high-tech mannequins and simulation centers, "low fidelity," low-cost simulation scenarios can be leveraged to create effective and engaging experiences for medical learners.

4. Understand the value of blockchain technology. While most people associate blockchains with cryptocurrency technology such as Bitcoin (the blockchain is the element that permanently records cryptocurrency transactions), you may not know that it is also a component that can be used in medical education. A blockchain is a database that links pieces of information together in a unique way that can't be modified. The information is stored in multiple locations, and all of the blockchains must match in order to be valid. This type of built-in security is important for things like formal medical exams since students are unable to alter the questions or modify exam content or answers, Richard notes.

5. Use generative AI (such as ChatGPT) wisely. There have been growing concerns among medical educators about the risks of students using ChatGPT and other forms of AI to do their homework and to help them with exams. But rather than being afraid of this rapidly emerging technology, Richards stresses that educators should accept its presence and figure out how to use it in the most effective way.

​​"In the 1990s, with the evolution of the internet, professors were terrified that students would use this new technology to find answers instead of going to the library to look up information in books. There are now similar concerns with generative AI," he explains. The key is understanding what this technology can and cannot do and embracing its capabilities.

"This will allow us to help the students use AI in a way that will continue their learning process," he says. For example, rather than trying to stop students from using AI to compile large amounts of information quickly, educators can create exams that build on the type of content that AI can provide by asking nuanced questions that require analysis and application of knowledge, rather than regurgitation of facts. This will require students to use critical thinking skills to apply the basic knowledge provided by AI in a more sophisticated context.

Preparing for the Future of AI

While it can be easy to be intimidated by the rapid pace of growth of AI and other emerging technologies, Richards says that it's important for educators not to feel overwhelmed. "Take a step back and look at what these tools are and how they are currently being used." Once you understand what the latest technologies bring to the table, you can determine how to embrace them in the coming years to enhance your teaching. This will ultimately bring exciting new capabilities to how we, as educators, teach the next generation of medical professionals.

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5 Ways Medical Educators Can Use AI and Other Technologies

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Most people today have heard about Chat GPT, a form of generative artificial intelligence (AI) that uses a chatbot to "converse" with users by creating content that responds to their questions or prompts.

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Geeky Medics | free medical student revision notes, OSCE guides & MCQs

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Geeky Medics provides free medical student revision resources, including OSCE guides, clinical skills videos, clinical cases and quizzes (MCQs).

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Am I on track to pass? How do I compare to others?

PassMedicine constructs a histogram based on other candidates scores which is updated on a daily basis. This not only allows you to see where you are in the pecking order but also helps predict whether you're ready to take the exam.

All the features you'd expect. And more.

Revision mode, timed tests, extensive performance analysis and powerful question review functions. Not only are PassMedicine questions accompanied by answers there are also revision notes under each question. Flag questions, add your own revision notes and much more...

Introducing the knowledge tutor. Harness the power of spaced repetition learning.

As well as our established, conventional question banks PassMedicine has developed the knowledge tutor. We've taken the results of the latest trials in memory science and applied them to medical revision. What this means in practice is a powerful system that drills key, high-yield, exam-relevant facts into you.

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Online revision for the MRCP Part 1, MRCGP Applied Knowledge Test (AKT), GP ST Stage 2 - Specialty Recruitment Assessment, Medical student finals, MRCP Part 2, Situational Judgement Test, PLAB, DRCOG. Revision questions in the current format to help you pass.

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Heidi Health - AI Medical Scribe for UK Clinicians

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Heidi Health’s AI medical scribe transcribes visits and generates notes to save time & focus on care. Trusted in the UK & beyond – try for free today!

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Used AI a lot more in preclinical years just because I had more questions than the lecture slides could answer, and sometimes the way a lecturer explained a concept would not make sense to me, so almost had to train ChatGPT to explain medical concepts in a ‘simple to understand-‘dumbed down’ way. In clinical years I’ve used it more for consultation of guidelines and also some OSCE practice. Brief use for revision advice and techniques

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Due to lack of resources, using ai to develop osce stations on specific topics/ station types

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I have used it to get explanations of different topics which I don’t understand. Summarise notes and make them into flashcards to import into anki

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I use ai to summarise textbooks and nice to speed up making my flashcards for ukmla conditions.

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for quizzes and reinforcing content known, so providing the ilos and prior exam questions for content to generate my own exam questions in a similar style.

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I use AI for multiple of reasons from mainly using it for learning difficult parts of my course where i kind of use it as Personal tutor or to summarise and make me flash cards or to conduct research or find answers in niche topics