生成式AI在医疗中应用广泛，涵盖临床、科研与患者服务
Generative AI in Medicine
- 系统梳理生成式AI在医疗各环节的应用场景
- 指出隐私保护、可解释性等核心挑战
- 适合医疗AI研究者与政策制定者参考
生成式AI能力的提升使其在医学领域的应用潜力显著扩大。本文全面综述了生成式AI在临床实践、患者服务、临床试验设计、科研工作及医学生培养中的应用场景。同时，文章深入讨论了实现该潜力所面临的多重挑战，包括数据隐私与安全、模型透明度与可解释性、公平性保障以及模型严谨评估等问题，并指出由此催生的开放研究方向。
原文摘要 · Abstract (English)
The increased capabilities of generative AI have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial organizers, researchers, and trainees. We then discuss the many challenges -- including maintaining privacy and security, improving transparency and interpretability, upholding equity, and rigorously evaluating models -- which must be overcome to realize this potential, and the open research directions they give rise to.
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