Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
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.
Authors
- Parisa Rashidi (ORCID: https://orcid.org/0000-0003-4530-2048)
- Hannah Lonsdale (ORCID: https://orcid.org/0000-0001-9953-8844)
- Richard H. Epstein (ORCID: https://orcid.org/0000-0001-8466-3845)
- Michael Burns (ORCID: https://orcid.org/0000-0002-5474-705X)
- Patrick J. McCormick (ORCID: https://orcid.org/0000-0002-7062-2409)
- Jonathan P. Wanderer (ORCID: https://orcid.org/0000-0002-3119-6873)
- Emily J. MacKay (ORCID: https://orcid.org/0000-0001-9865-419X)
- Patrick Tighe (ORCID: https://orcid.org/0000-0002-1881-9941)
- Ira S. Hofer (ORCID: https://orcid.org/0000-0001-7456-6697)
- Daryl J. Kor (ORCID: https://orcid.org/0000-0001-9110-1648)
- J. Arias Delgado (ORCID: https://orcid.org/0000-0001-7145-4921)
Institutions
- Boston Children's Hospital (US)
- Mayo Clinic (US)
- Memorial Sloan Kettering Cancer Center (US)
- University of Miami (US)
- Cornell University (US)
- University of Florida (US)
- Monroe Carell Jr. Children's Hospital (US)
- Child Health and Development Institute (US)
- Michigan Medicine (US)
- Penn Center for AIDS Research (US)
- University of Pennsylvania (US)
- Vanderbilt University Medical Center (US)
- Florida College (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Anesthesiology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1097/aln.0000000000005326
- Citations
- 9
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 5.89