{"title":"[Artificial intelligence in surgery. Reducing the risks related to polypharmacy in perioperative period].","authors":"V I Panteleev, A G Kriger, N L Shimanovsky","doi":"10.17116/hirurgia202507159","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":35986,"journal":{"name":"Khirurgiya","volume":" 7","pages":"59-66"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Khirurgiya","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17116/hirurgia202507159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
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.