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Lonsdale, Hannah

https://orcid.org/0000-0001-9953-8844

Mayo Clinic

Monroe Carell Jr. Children's Hospital

Citations 2

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
Lonsdale, Hannah , Burns, Michael , Epstein, Richard H. , Hofer, Ira , Tighe, Patrick , Delgado, J. Arias , Kor, Daryl J. , MacKay, Emily J. , Rashidi, Parisa , Wanderer, Jonathan P. , Hofer, Ira S , Tighe, Patrick J , Gálvez Delgado, Julia A , McCormick, Patrick J

Anesthesia & Analgesia | March 14, 2025 | Volume: 140 | Issue: 4 | Pages: 920-930

10.1213/ane.0000000000007474 Get It

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.
Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council
Lonsdale, Hannah , Burns, Michael , Epstein, Richard H. , Hofer, Ira , Tighe, Patrick , Delgado, J. Arias , Kor, Daryl J. , MacKay, Emily J. , Rashidi, Parisa , Wanderer, Jonathan P. , Hofer, Ira S , Tighe, Patrick J , Gálvez Delgado, Julia A , McCormick, Patrick J

Anesthesiology | March 11, 2025 | Volume: 142 | Issue: 4 | Pages: 599-610

10.1097/aln.0000000000005326 Get It

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.