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Artificial Intelligence has been reshaping many if not all industries but my focus today is on healthcare, due to it affecting my own personal life and family, as healthcare is a resource that is universally needed. I am also on the premed track, so learning as much about healthcare on all scopes is quite important. This pallet will look at the benefits of how AI can help assist doctors, and other healthcare workers such as faster diagnosis, flagging urgent cases, and overall approving efficiency, while also making sure to examine the potential risks and limits such as bias, privacy risk, and ethical usage. I will be analysing three applications, AI in diagnostic imaging, ambient AI that helps draft notes and AI enabled remote patient monitoring. I will give a summary of the application and technology, the benefits, and the challenges. My goal is to maximise AI to its fullest potential while also protecting the safety, and ethical use of the AI.

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Artificial Intelligence in Diagnostic Imaging

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Artificial Intelligence in Diagnostic Imaging

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AI is able to read radiology images which include CT scan, x rays, and such to be able to point out abnormalities, and help support reports and notes on potential problems and other diagnosis. The benefits is that it can detect critical conditions faster and help with the workload amount. Essentially improve the efficiency of the healthcare workers which in turn results in a happier and more effective system for all. Some potential challenges are false positives, and generalization across different scanners and populations as well as the increased need for human oversight, as despite how accurate and helpful the AI can be, it can still make mistakes and misjudgments which can result in detrimental issues especially in the field of healthcare. I find it interesting because of how much potential the AI has in the future, as possibly be able to detect genetic illness or other underlying problems way before humans could greatly benefit our society. I believe this is one of the first steps toward a healthier and more innovative future.

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Ambient systems are able to take the words in a room and transform it into a ASR language model and generalize it into a good notes. for example this helps with less time wasted on pouring through notes and creating it, and helps destress the healthcare workers which in turn improves efficiency. Challenges exist such as possible inaccuracy, and need for privacy when talking, and ethical concerns. I enjoy that this tackles a part of clerical burden, and helps with getting an objective point of view and draft of what happened. https://www.youtube.com/watch?v=3PxVGTVAeFQ

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AI with you wherever you go can help with monitoring patients and making sure they are fine and healthy. Can give earlier alerts, and decrease response time. For example if someone had a heart attack, first responders can get there extremely fast regardless if someone was there to call the 911 or not, as the AI would do it. Some challenges however such as false alerts, and the fact that being constantly monitored whether it be for health reasons can be a breach of privacy. I find this interesting since I believe this can be used for other purposes as well however it can also lead to breach of privacy and ethical concerns. For example other than just healthcare, it can help call 911 when seeing you are under attack or robbed, or translate a foreign language, or in general basically have a walking AI that assists with everything you do. This could lead to complications though since someone could be on the other end of the AI that is secretly stealing your data and encroaching on your personal space.https://www.youtube.com/watch?v=oIQ3f1_PgoU

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Future Trends and Ethical Considerations

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Future Trends and Ethical Considerations

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AI in healthcare is turning from just single task models and methods into systems that can multitask, combine images text and other different sources of input to answer healthcare and medical problems. I believe that AI has gotten to a point of no return, we will be using AI regardless now of what we do. Our only goal now is to utilize it correctly and safely. I believe that as AI becomes more advanced in healthcare, so will its ethical concerns. For example in remote patient monitoring, if it is always monitoring the patient, that could breach upon privacy, or over reliance on AI could lead to problems that get overlooked which could also lead to a whole set of issues. However I believe the core focuses should be safety and reliability across populations, make sure the AI is as objective as possible, privacy for the patient and the healthcare worker, transparency so the clinicians know when and how the AI is used as well as human oversight incase for any problems in the functionality of the AI. With this I believe that AI can be used to great effective and genuinely improve our society as a whole, as who doesn't want to live a healthier happier tomorrow.

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AI healthcare impact extends way beyond just the medical field. If the AI and remote patient monitoring is only available to the richer and wealthier areas and systems, many disparities and inequalities could arise. AI will not replace clinicians but there tasks could shift as there will be less need for menial work and the clinicians can focus more on the complex judgements. However this could negatively effect the scribes and billers whose job may change or be lost. And in privacy, continuous sensing and information can create sensitive data so clear consent and strong security is very important. As well as the public, as the public will always be wary of the newest "gimmick", so having transparency is vital for AI success in the general public especially on a sensitive subject as health, as at the end of the day the most important thing about life is staying healthy and happy. You may genuinely be trusting your life to AI in the future. Personally I believe AI has great potential to improve society and yet also has the chance to be detrimental. It is up to decide how we implement it which will decide its success.

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Researching healthcare AI showed me how the technology works, but also where we need to usher caution. Often the most useful applications of AI also lead to ethical and moral concerns. When I researched, I looked at FDA documents, WHO ethics guidance's and making sure my information is factual and correct. As well as the concerns for ethics are valid. I learned that AI in healthcare is less about just replacing the doctors and workers but more about assisting them and supporting them to make up where humans fail, and the humans make up where the AI fails. Especially in subjects such as continuous monitoring where privacy can be hurt but yet the importance and help it can provide. I will begin looking for the best ways to provide efficiency as well as keeping the morality and ethics.

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This source is my primary source for confirming which type of healthcare AI tools are allowed to be used in the US. FDA. (2025). AI-Enabled Medical Devices. U.S. Food and Drug Administration. https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices

This source helps me understand ethics for artificial intelligence. Ethics and governance of artificial intelligence for health: Guidance on large multi-modal models. (n.d.). Www.who.int. https://www.who.int/publications/i/item/9789240084759

This source helps me understand the current field of AI in healthcare and potential future perspectives as well as in radiology.Rafał Obuchowicz, Lasek, J., Marek Wodziński, Piórkowski, A., Strzelecki, M., & Karolina Nurzynska. (2025). Artificial Intelligence-Empowered Radiology—Current Status and Critical Review. Diagnostics, 15(3), 282–282. https://doi.org/10.3390/diagnostics15030282

This source helps me understand ambient scribe technology. Duggan, M. J., Gervase, J., Schoenbaum, A., Hanson, W., Howell, J. T., Sheinberg, M., & Johnson, K. B. (2025). Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency. JAMA Network Open, 8(2), e2460637. https://doi.org/10.1001/jamanetworkopen.2024.60637

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This source helps me understand how AI atrial fibrillation detection works with smartwatches. Papalamprakopoulou, Z., Stavropoulos, D., Moustakidis, S., Avgerinos, D., Efremidis, M., & Kampaktsis, P. N. (2024). Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives. Frontiers in Cardiovascular Medicine, 11. https://doi.org/10.3389/fcvm.2024.1432876

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