Volume 12, Issue 3 (Autumn 2025)                   DSME 2025, 12(3): 225-232 | Back to browse issues page


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Kalani N, Ziyaei M, Sayadinia M, Zabetian H, Deylami M. Advancing Proficiency in the Digital Era: A Model for Artificial Intelligence Training in Anesthesia. DSME 2025; 12 (3) :225-232
URL: http://dsme.hums.ac.ir/article-1-522-en.html
Department of Anesthesiology, Faculty of Medicine, Golestan University of Medical Sciences, Gorgan, Iran.
Abstract:   (719 Views)
Today, artificial intelligence is used in various aspects of medicine, from numerous diagnostic applications in radiology and pathology to therapeutic and interventional applications. Studies show that the application of artificial intelligence techniques in clinical decision support has been effective in various medical disciplines, including clinical anesthesia. Anesthesia, as a specialized field, which is a central element in medical practice, focuses on several elements of clinical care, including intraoperative and critical care, pain management, drug delivery and discovery. Currently, the specialty of anesthesia has undergone significant evolution and has increased the safety and complexity of surgical and medical procedures. The application of artificial intelligence in the field of anesthesia is also growing, with artificial intelligence in anesthesia showing the potential to increase the prediction of treatment outcomes, reduce costs and optimize the delivery of anesthesia care.
Full-Text [PDF 509 kb]   (165 Downloads)    
Type of Study: Orginal | Subject: Special
Received: 2025/09/15 | Accepted: 2025/11/15 | Published: 2025/12/1

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