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Ethical and practical challenges of generative AI in healthcare and proposed solutions: a survey
2
Zitationen
3
Autoren
2025
Jahr
Abstract
The review confirmed that generative AI has a growing integration into medical training, research, and clinical practice. Key challenges identified include systemic bias stemming from non-representative data, unresolved legal liability, the "black box" nature of complex models, and significant data privacy risks. These challenges can undermine patient trust and create health disparities. Proposed solutions are multifaceted, spanning technical (such as explainable AI), procedural (like stakeholder oversight), and regulatory strategies.
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