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AI is transforming healthcare by improving diagnostics, personalizing treatments, and streamlining operations. AI algorithms can analyze medical images to detect diseases earlier and more accurate than humans. AI powered tools can analyze patient data to predict health risks and recommend personalized treatment plans. AI is also being used to automate tasks such as scheduling appointments, processing insurance claims and dispensing medications. However, there are also challenges to overcome. It is important to ensure that AI systems are accurate, reliable and unbiased. We must also protect patient data and address ethical concerns about the use of AI in healthcare. Despite these challenges, AI has the potential to revolutionize healthcare and improve the lives of millions of people.

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Artificial Intelligence is being used to help doctors read images of the body, such as x rays and mris. This technology can find problems more quickly and accurately than humans in certain cases. For AI to work well, it needs a lot of high quality images to learn from. It also important to think about fairness, safety , and privacy when using AI. This foal is to help healthcare professionals make better diagnoses sooner, which can lead to better treatment of patients.

Youtube video: https://youtu.be/xqbHczUVhcU?si=Aiu6sb93GIEg8w4o

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Healthcare - AI in Customizing Medicine 

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Healthcare - AI in Customizing Medicine 

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Artificial intelligence is helping to create medicine that is specifically designed for each person. It looks at details such as genetics and lifestyle to find the best treatment options. However we must protect patient information and ensure that artificial intelligence is treating everyone fairly. The idea behind personalized medicine is to improve how well treatments work and reduce side affects, leading to better health outcomes for everyone.

YT video: https://youtu.be/4yMF8F4yN8g?si=RRNETLg_2qi1Js7X

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Healthcare-  AI in Speeding Up Drug Discovery

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Healthcare-  AI in Speeding Up Drug Discovery

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Artificial Intelligence is changing how new medicines are found by making the process faster. It can analyzed huge amounts of data to identify potential new drugs more quickly. It is essential to confirm that AI predictions are accurate and to be aware of any possible risks involved. By speeding up drug discovery, AI has the potential to bring new treatments to patients more efficiently, helping to tackle various diseases.

YT Video: https://youtu.be/XJJzpRD74Do?si=z2etWOVW4CcN3Osh

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Artificial Intelligence is believed to transform healthcare by making everything more personalized and efficient. In the near future AI would be able to predict health problems before they occur by using information from wearable devices to give you tailored advice. Doctors will use Ai to make better decision about a patients treatment, and new medicines could be discover faster. However, this progress does come with challenges. We need to ensure that AI is fair and does not make biased decisions based on factors such as race or gender. Protecting ones personal health information/data is crucial, so we need to prevent leaks at all costs. As AI takes on more tasks, sone health care professions may change and people well need to develop new skills. It is also important to think about who is at fault if AI was to make a mistake . We need clear rules about when healthcare professionals should trust AI and when they should step in. To make sure AI is useful to all we need to be informed on how AI works and listen to peoples concerns. By tackling these concerns, we can ensure AI makes healthcare better and safer for all.

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Although AI in healthcare promises great advancements it is crucial to consider its broader societal impact. One major concern is employment. While Ai can automate tasks and improve efficiency it also risks displacing healthcare professionals. Society should focus on retraining and creating new rules that leverage Ais abilities while valuing human skills like empathy and critical thinking. Privacy is another significant issue. AI relies on vast amounts of data, raising concerns about data security and potential misuse. Regulations and ethical guidelines are necessary to protect patient information and maintain trust. AI algorithms can also perpetuate certain biases, leading to unequal access to care. Ensuring fairness and equity requires diverse data sets, and careful monitoring of AI systems. Personally, these societal impacts makes me optimistic about AI involvement in healthcare. While artificial intelligence to improve patient care and reduce costs , I do believe that it is essential to address any ethical and social challenges. We must prioritize human well-being and ensure that AI is beneficial to everyone, not just those with certain privilege's.

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Researching AI in healthcare has definitely been eye opening. I have learned about Ai's potential to revolutionize diagnostics and treatments, but also the ethical considerations surrounding data privacy and algorithmic bias. One challenge was going through the wide variety of information to find reliable sources. I overcame this by focusing on articles and reports from reputable organizations. Artificial Intelligences impact on healthcare is undeniable, offering opportunities for improved efficiency and personalized care. I chose healthcare because I plan to have a career in healthcare, and for the direct impact it has on peoples lives. I found AI role in diagnostics to be interesting. This research has made me more aware of the complexities of AI and the importance of responsible development execution to ensure that it benefits all of society. Reflecting on the research process, I now have a deeper appreciation for the need to critically evaluate sources and consider the broader implications of technological advancements.

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The free account cuts the video off at 2 minutes so I had to make my video into seperate parts.