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JAMA Surg. 2024 Aug 1;159(8):928-937. doi: 10.1001/jamasurg.2024.1621.
2
Clinical Knowledge and Reasoning Abilities of AI Large Language Models in Anesthesiology: A Comparative Study on the American Board of Anesthesiology Examination.人工智能大语言模型在麻醉学领域的临床知识与推理能力:关于美国麻醉学委员会考试的比较研究
Anesth Analg. 2024 Aug 1;139(2):349-356. doi: 10.1213/ANE.0000000000006892. Epub 2024 Apr 19.
3
Leveraging large language models for generating responses to patient messages-a subjective analysis.利用大型语言模型生成对患者信息的回复——主观分析。
J Am Med Inform Assoc. 2024 May 20;31(6):1367-1379. doi: 10.1093/jamia/ocae052.
4
Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks.Transformer 模型在医疗保健领域的应用:潜力、不足与风险的调查与主题分析。
J Med Syst. 2024 Feb 17;48(1):23. doi: 10.1007/s10916-024-02043-5.
5
The Breakthrough of Large Language Models Release for Medical Applications: 1-Year Timeline and Perspectives.大语言模型在医疗应用方面的突破:1 年时间线与展望。
J Med Syst. 2024 Feb 17;48(1):22. doi: 10.1007/s10916-024-02045-3.
6
Autonomous chemical research with large language models.大语言模型驱动的自主化学研究。
Nature. 2023 Dec;624(7992):570-578. doi: 10.1038/s41586-023-06792-0. Epub 2023 Dec 20.
7
Performance of Large Language Models on a Neurology Board-Style Examination.大语言模型在神经科 board-style 考试中的表现。
JAMA Netw Open. 2023 Dec 1;6(12):e2346721. doi: 10.1001/jamanetworkopen.2023.46721.
8
Guiding principles and proposed classification system for the responsible adoption of artificial intelligence in scientific writing in medicine.医学科学写作中负责任采用人工智能的指导原则和拟议分类系统。
Front Artif Intell. 2023 Nov 16;6:1283353. doi: 10.3389/frai.2023.1283353. eCollection 2023.
9
Will Generative Artificial Intelligence Deliver on Its Promise in Health Care?生成式人工智能能否在医疗保健领域兑现其承诺?
JAMA. 2024 Jan 2;331(1):65-69. doi: 10.1001/jama.2023.25054.
10
Pilot Testing of a Tool to Standardize the Assessment of the Quality of Health Information Generated by Artificial Intelligence-Based Models.用于规范基于人工智能模型生成的健康信息质量评估工具的试点测试。
Cureus. 2023 Nov 24;15(11):e49373. doi: 10.7759/cureus.49373. eCollection 2023 Nov.

Supercharge Your Academic Productivity with Generative Artificial Intelligence.

作者信息

Lonsdale Hannah, O'Reilly-Shah Vikas N, Padiyath Asif, Simpao Allan F

机构信息

Department of Anesthesiology, Vanderbilt University School of Medicine, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, TN, 37232, USA.

Department of Anesthesiology & Pain Medicine, University of Washington School of Medicine, Seattle, WA, USA.

出版信息

J Med Syst. 2024 Aug 8;48(1):73. doi: 10.1007/s10916-024-02093-9.

DOI:10.1007/s10916-024-02093-9
PMID:39115560
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11457929/
Abstract
摘要