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Summary
This viewpoint paper examines the expanding use of generative AI in healthcare, focusing on its potential benefits across various applications like medical diagnostics and drug discovery. The authors highlight significant privacy and security risks associated with these AI systems, particularly concerning the handling of sensitive patient data. The paper categorizes generative AI applications in healthcare and analyzes security threats throughout their life cycle. Finally, it proposes recommendations for mitigating these risks through improved risk assessment protocols and the development of specific metrics for evaluating AI trustworthiness and responsibility.