The Role of Artificial Intelligence in Preoperative Assessment, Surgical Risk Stratification, and Predictive Analytics in Anesthesiology and Critical Care

Anesthesiology and critical care medicine contain a vast repository of patient data that can be analyzed and decoded by artificial intelligence applications. Although there has been a rapid growth in the development of predictive analytics to improve providers' decision making, the field is sti...

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Bibliographic Details
Published inAnesthesiology clinics Vol. 43; no. 3; p. 419
Main Authors Romito, Bryan T, Alexander, John C
Format Journal Article
LanguageEnglish
Published United States 01.09.2025
Subjects
Anesthesiology - methods
Artificial Intelligence
Critical Care - methods
Humans
Preoperative Care - methods
Risk Assessment - methods
Critical care
Anesthesiology
Preoperative care
Artificial intelligence
Forecasting
Machine learning
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Summary:Anesthesiology and critical care medicine contain a vast repository of patient data that can be analyzed and decoded by artificial intelligence applications. Although there has been a rapid growth in the development of predictive analytics to improve providers' decision making, the field is still in its infancy. Many studies evaluating the use of predictive analytics are subject to bias and lack external validation. Additionally, there are many technical, regulatory, and ethical concerns that need to be addressed before these novel tools are widely adopted within anesthesiology and critical care.
ISSN:1932-2275
DOI:10.1016/j.anclin.2025.05.001