Generative Artificial Intelligence in Anesthesiology: Current Evidence, Clinical Applications, and the Emerging Role of Small Models

Anesthesiology 2026

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Authors: Alwin Chuan, Monika Nanda
DOI: 10.1097/aln.0000000000005933
Cited by: 1
References: 38

Abstract

In Brief This review explores generative artificial intelligence in anesthesiology. It discusses key terms and concepts, use-cases, challenges, and ethical concerns. It describes future directions for clinicians to guide safe and effective artificial intelligence use.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Machine Learning in Healthcare Healthcare Technology and Patient Monitoring

Publication details

Journal / source
Anesthesiology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
144
Issue
6
Pages
1420–1430
Publication date
6 April 2026
Language
EN