医学中的生成式人工智能。

IF 7 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY

Annual Review of Biomedical Data Science Pub Date : 2025-03-18 DOI:10.1146/annurev-biodatasci-103123-095332

Divya Shanmugam, Monica Agrawal, Rajiv Movva, Irene Y Chen, Marzyeh Ghassemi, Maia Jacobs, Emma Pierson

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引用次数: 0

摘要

生成式人工智能（AI）的能力不断增强，极大地扩展了其在医学领域的可能用例。我们为临床医生、患者、临床试验组织者、研究人员和受训者提供生成式人工智能用例的全面概述。然后我们讨论了许多挑战，包括维护隐私和安全，提高透明度和可解释性，维护公平，严格评估模型，必须克服这些挑战才能实现这一潜力，以及它们所带来的开放研究方向。

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Generative Artificial Intelligence in Medicine.

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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来源期刊

Annual Review of Biomedical Data Science

CiteScore

11.10

自引率

1.70%

发文量

期刊介绍： The Annual Review of Biomedical Data Science provides comprehensive expert reviews in biomedical data science, focusing on advanced methods to store, retrieve, analyze, and organize biomedical data and knowledge. The scope of the journal encompasses informatics, computational, artificial intelligence (AI), and statistical approaches to biomedical data, including the sub-fields of bioinformatics, computational biology, biomedical informatics, clinical and clinical research informatics, biostatistics, and imaging informatics. The mission of the journal is to identify both emerging and established areas of biomedical data science, and the leaders in these fields.