Background & aim: The operating room is one of the most critical environments in healthcare, where even minor errors can have severe consequences for patients. Artificial Intelligence (AI) has emerged as an innovative tool for enhancing patient safety by reducing medical errors and improving surgical outcomes. This review explores the role of AI in increasing patient safety in the operating room. Methods: This study was a scoping review based on the Arksey and O’Malley framework, incorporating modifications. A systematic search of relevant literature was conducted in databases such as PubMed, Scopus, and Web of Science, with predefined inclusion and exclusion criteria. Results: Findings indicate that AI contributes to patient safety by minimizing surgical errors, improving clinical decision-making, reducing surgical team fatigue, preventing retained surgical instruments, and managing medical errors. AI-driven technologies, such as machine learning, computer vision, and robotic-assisted surgery, enhance procedural accuracy and decision-making efficiency. Conclusion: AI holds significant potential in improving patient safety in surgery. However, widespread adoption requires robust infrastructure, clear regulatory guidelines, and targeted training for healthcare professionals to address existing challenges.
alipoor M, khodabandeh S, tajadini M, shakeri goki M. The Role of Artificial Intelligence in Enhancing Patient Safety: Perspectives and Challenges in the Operating Room: A Scoping Review. jccnursing 2025; 18 (1) :48-59 URL: http://jccnursing.com/article-1-826-en.html