Clinical Application of Artificial Intelligence in Anesthesiology: A Multicenter Retrospective Comparison Between Human Anesthetic Decisions and Algorithmic Recommendations in Non-Cardiac Surgery
: AI-generated anesthetic recommendations demonstrated substantial concordance with expert clinical decision-making across heterogeneous surgical settings. These findings support the potential integration of AI within a hybrid decision-making framework, complementing-rather than replacing-anesthesiologist expertise in contemporary perioperative care.
Authors
- Luigi La Via (ORCID: https://orcid.org/0000-0002-2156-7554)
- Gilberto Duarte-Medrano (ORCID: https://orcid.org/0000-0002-4929-7111)
- Massimiliano Sorbello (ORCID: https://orcid.org/0000-0002-9331-2788)
- Rebeca Garazi Elguezabal Rodelo
- Daniele Salvatore Paternò (ORCID: https://orcid.org/0009-0003-0215-5620)
- Carmelo Calvagna
- Octavio Gonzalez-Chon
- Natalia Nuño-Lámbarri
Institutions
- Università degli Studi di Enna Kore (IT)
- University of Catania (IT)
- University of Ragusa (IT)
- Hospital Médica Sur (MX)
- Policlinico Universitario di Catania (IT)
- Universidad Nacional Autónoma de México (MX)
Publication Details
- Journal
- Journal of Personalized Medicine
- Published
- 2026-04-17
- DOI
- https://doi.org/10.3390/jpm16040222
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00