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The use of generative #AI in #healthcare has led to increased reliance on #digital information sources, including by physicians and healthcare providers. ????
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Generative AI can be effectively applied in routine information gathering, improving the efficiency of data collection and patient history documentation. ??????
While AI has potential in enhancing diagnostic procedures, challenges exist, particularly for rare diseases with limited data representation, and AI should complement rather than replace physicians in the diagnostic process. ??????
The use of AI in treatment raises significant challenges, including accountability, trust, and technological limitations, making widespread implementation in medical treatment unlikely in the near future. ??????
Post-treatment monitoring and follow-up, as well as population health management, hold promise for #AI deployment, leveraging wearable technology and extensive datasets to improve patient care. ??????
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Transparency among AI developers and collaboration between healthcare professionals and technology experts are essential to ensure medically sound and accurate AI recommendations. ??????
Patients should be informed about the role of AI in their healthcare journey, including data collection from wearable devices and smart technology. ??????
Initiatives to break data monopolies within the healthcare market, such as through Health Information Exchanges (HIEs), should be pursued to democratize access to medical data for AI development and ensure equitable use of AI in healthcare. ??????
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Gregory Stone, Rob Capozziello, Paul Nielsen, Genevieve Paquette, Ryan? Stellar, Gabriela Pelin, Hamed Tabkhi, Daniel B., Mark Janas, BS, MBA, EdD, Saikat Das, Alexander Poston, Eric Utzinger