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
卷期号:8 (1): 199-226
被引量:4
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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