Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
Year: 2025
Type: article
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.
Source: Anesthesiology
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
Institutions: Monroe Carell Jr. Children's Hospital, Vanderbilt University Medical Center, University of Michigan, Michigan Medicine, University of Miami, Icahn School of Medicine at Mount Sinai, University of Florida Health, University of Florida, Boston Children's Hospital, Mayo Clinic, University of Pennsylvania Health System, University of Pennsylvania, Vanderbilt University, Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4408302782
