可解释性
生成语法
透明度(行为)
人工智能
计算机科学
数据科学
计算机安全
作者
Divya Shanmugam,Monica Agrawal,Rajiv Movva,Irene Y. Chen,Marzyeh Ghassemi,Maia Jacobs,Emma Pierson
出处
期刊:Annual review of biomedical data science
[Annual Reviews]
日期:2025-03-18
标识
DOI:10.1146/annurev-biodatasci-103123-095332
摘要
The increased capabilities of generative artificial intelligence (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—that must be overcome to realize this potential, as well as the open research directions they give rise to.
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