Key result
AI technologies are emerging to improve surgical care and reduce perioperative polypharmacy risks.
Why the study?
Active development and widespread introduction of artificial intelligence in healthcare and surgery aimed to improve the quality, effectiveness, and safety of patient examination and treatment.
This review highlights the potential of artificial intelligence to improve the quality, effectiveness, and safety of surgical treatment, particularly in reducing perioperative polypharmacy risks.
Answers are grounded in this paper and cite their sources.
Does not yet support routine AI adoption in surgery; leaves open efficacy for perioperative polypharmacy reduction.
In recent years, active development of artificial intelligence (AI) leads to its widespread introduction into various spheres of human activity, including healthcare and surgery. The ongoing research of AI in surgery is aimed at potential benefits of AI at all stages of examination and treatment of patients. The ultimate goal is improvement of quality, effectiveness and safety of treatment. This review examines the main directions of AI (machine learning, natural language processing, artificial neural networks, computer vision) and provides examples of their current use including reducing the risks of polypharmacy in perioperative period. The prospects for further development of AI in surgery and possible risks associated with this technology are also discussed.
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Panteleev et al. (2025) conducted a review in Surgery and perioperative polypharmacy. Artificial intelligence was evaluated. Artificial intelligence technologies, including machine learning and natural language processing, are being developed to improve surgical care and reduce perioperative polypharmacy risks.
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