Hannah Lonsdale, Michael L. Burns, Richard H. Epstein, Ira S. Hofer, Patrick J. Tighe, Julia A. Gálvez Delgado, Daryl J. Kor, Emily J. MacKay, Parisa Rashidi, Jonathan P. Wanderer, Patrick J. McCormick
{"title":"Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council","authors":"Hannah Lonsdale, Michael L. Burns, Richard H. Epstein, Ira S. Hofer, Patrick J. Tighe, Julia A. Gálvez Delgado, Daryl J. Kor, Emily J. MacKay, Parisa Rashidi, Jonathan P. Wanderer, Patrick J. McCormick","doi":"10.1213/ane.0000000000007474","DOIUrl":null,"url":null,"abstract":"tate 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....","PeriodicalId":7799,"journal":{"name":"Anesthesia & Analgesia","volume":"183 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anesthesia & Analgesia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1213/ane.0000000000007474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
tate 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....