ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next Steps

ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next Steps

Generative artificial intelligence (GenAI) is increasingly being integrated into health care, offering a wide array of benefits. Currently, GenAI applications are useful in disease risk prediction and preventive care, diagnostics via imaging, artificial intelligence (AI)–assisted devices and point-of-care tools, drug discovery and design, patient and disease monitoring, remote monitoring and wearables, integration of multimodal data and personalized medicine, on-site and remote patient and disease monitoring and device integration, robotic surgery, and health system efficiency and workflow optimization, among other aspects of disease prevention, control, diagnosis, and treatment. 

Medigy Insights

The study highlights that generative AI is increasingly used in healthcare for diagnostics, drug discovery, remote monitoring, and personalized medicine, but its adoption raises critical ethical challenges related to transparency, data security, cost, and clinical workflow integration. 



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