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加强人工智能在麻醉学中的发现与应用:麻醉研究委员会的报告

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council.

作者信息

Lonsdale Hannah, Burns Michael L, Epstein Richard H, Hofer Ira S, Tighe Patrick J, Gálvez Delgado Julia A, Kor Daryl J, MacKay Emily J, Rashidi Parisa, Wanderer Jonathan P, McCormick Patrick J

机构信息

Hannah Lonsdale, M.B.Ch.B.: Department of Anesthesiology, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee.

Michael L. Burns, Ph.D., M.D.: Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan.

出版信息

Anesth Analg. 2025 Apr 1;140(4):920-930. doi: 10.1213/ANE.0000000000007474. Epub 2025 Mar 14.

Abstract

Interest in the potential applications of artificial intelligence in medicine, anesthesiology, and the world at large has never been higher. The Anesthesia Research Council steering committee formed an anesthesiologist artificial intelligence expert workgroup charged with evaluating the current state of artificial intelligence in anesthesiology, providing examples of future artificial intelligence applications and identifying barriers to artificial intelligence progress. The workgroup's findings are summarized here, starting with a brief introduction to artificial intelligence for clinicians, followed by overviews of current and anticipated artificial intelligence-focused research and applications in anesthesiology. Anesthesiology's progress in artificial intelligence is compared to that of other medical specialties, and barriers to artificial intelligence development and implementation in our specialty are discussed. The workgroup's recommendations address stakeholders in policymaking, research, development, implementation, training, and use of artificial intelligence-based tools for perioperative care.

摘要

人工智能在医学、麻醉学以及整个世界的潜在应用方面的关注度从未如此之高。麻醉研究委员会指导委员会成立了一个麻醉医生人工智能专家工作组,负责评估麻醉学中人工智能的当前状况,提供未来人工智能应用的实例,并确定人工智能发展的障碍。工作组的研究结果在此进行总结,首先简要介绍面向临床医生的人工智能,接着概述当前以及预期的以人工智能为重点的麻醉学研究和应用。将麻醉学在人工智能方面的进展与其他医学专科进行比较,并讨论我们专科中人工智能开发和实施的障碍。工作组的建议涉及政策制定、研究、开发、实施、培训以及使用基于人工智能的围手术期护理工具等方面的利益相关者。

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