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

Affiliations

¹ Department of Anesthesiology, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee.
² Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan.
³ Department of Anesthesiology, Perioperative Medicine, and Pain Management, University of Miami Miller School of Medicine, Miami, Florida.
⁴ Department of Anesthesiology, Perioperative and Pain Medicine, and Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
⁵ Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida.
⁶ Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.
⁷ Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.
⁸ Department of Anesthesiology and Critical Care, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
⁹ Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
¹⁰ Departments of Anesthesiology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
¹¹ Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Anesthesiology, Weill Cornell Medicine, New York, New York.

PMID: 40067037
PMCID: PMC11906170 (available on 2026-04-01)
DOI: 10.1097/ALN.0000000000005326

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

Hannah Lonsdale et al. Anesthesiology. 2025.

. 2025 Apr 1;142(4):599-610.

doi: 10.1097/ALN.0000000000005326. Epub 2025 Mar 11.

Authors

Affiliations

¹ Department of Anesthesiology, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital at Vanderbilt, Nashville, Tennessee.
² Department of Anesthesiology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan.
³ Department of Anesthesiology, Perioperative Medicine, and Pain Management, University of Miami Miller School of Medicine, Miami, Florida.
⁴ Department of Anesthesiology, Perioperative and Pain Medicine, and Charles Bronfman Institute of Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
⁵ Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida.
⁶ Department of Anesthesiology, Perioperative and Pain Medicine, Boston Children's Hospital, Boston, Massachusetts.
⁷ Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, Minnesota.
⁸ Department of Anesthesiology and Critical Care, Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
⁹ Department of Biomedical Engineering, University of Florida, Gainesville, Florida.
¹⁰ Departments of Anesthesiology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee.
¹¹ Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Anesthesiology, Weill Cornell Medicine, New York, New York.

PMID: 40067037
PMCID: PMC11906170 (available on 2026-04-01)
DOI: 10.1097/ALN.0000000000005326

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.

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Conflict of interest statement

Dr. Lonsdale is a member of the ASA Committee on Informatics and Information Technology and a member of the Society for Pediatric Anesthesia Biomedical Informatics Special Interest Group. Dr. Burns is a co-founder of Decimal Code and holds shares in the company; he is also a member of the American Board of Anesthesiologists Technology Task Force. Dr. Hofer is the founder and president of Extrico Health, holds stock in the company, sits on the board, and is a paid consultant. Dr. Hofer has received funding from Merck. Dr. Gálvez Delgado is a member of the ASA Committee on Informatics and Information Technology and the Chair of the Society for Pediatric Anesthesia’s Biomedical Informatics Special Interest Group. Dr. Kor is a consultant for the National Heart, Lung, and Blood Institute’s Recipient Epidemiology and Donor (REDS) research program; is a member of the GE Healthcare Advisory Board, the Terumo BCT Advisory Board, and the ASA Committee on Patient Blood Management; and receives royalties from UpToDate. Dr Rashidi is the president and CEO of Medbox Inc. Dr. Wanderer is the immediate past president of the Society for Technology in Anesthesia. Dr. McCormick is a member of the Board of Directors for the Anesthesia Quality Institute, is the secretary for the Society for Technology in Anesthesia Board of Directors, and has involvement with SNOMED and the New York State Society of Anesthesiologists. Dr McCormick’s spouse holds stock in Johnson & Johnson. Dr. Tighe holds a stock portfolio which contains stocks in companies involved in AI and healthcare markets. All other authors have no potential conflicts to declare.

References

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

Affiliations

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

Authors

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Abstract

Conflict of interest statement

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