{"title":"Artificial Intelligence and Gynecologic Surgery.","authors":"Grace M Pipes, Andrew J Hung, Kenneth H Kim","doi":"10.1097/AOG.0000000000006052","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) has the potential to revolutionize health care. Within obstetrics and gynecology, it has proven to be useful for diagnostics and outcome predictions, particularly within maternal-fetal medicine and reproductive endocrinology and infertility. Artificial intelligence also has been used to harness the massive data sets produced by surgery, particularly robotic-assisted surgery, that are difficult to interpret with traditional statistical methods. Gynecologic surgery is a burgeoning area for AI application to improve the field's surgical outcomes through preoperative planning, intraoperative guidance, and training and credentialing. With a promising future, we must address limitations of current studies such as small data sets and lack of standardization of data collection as well as present mechanisms of explainability to ensure patient safety. In a rapidly evolving field, this narrative review summarizes the current literature on AI application to gynecologic surgery.</p>","PeriodicalId":19483,"journal":{"name":"Obstetrics and gynecology","volume":" ","pages":""},"PeriodicalIF":4.7000,"publicationDate":"2025-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Obstetrics and gynecology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/AOG.0000000000006052","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) has the potential to revolutionize health care. Within obstetrics and gynecology, it has proven to be useful for diagnostics and outcome predictions, particularly within maternal-fetal medicine and reproductive endocrinology and infertility. Artificial intelligence also has been used to harness the massive data sets produced by surgery, particularly robotic-assisted surgery, that are difficult to interpret with traditional statistical methods. Gynecologic surgery is a burgeoning area for AI application to improve the field's surgical outcomes through preoperative planning, intraoperative guidance, and training and credentialing. With a promising future, we must address limitations of current studies such as small data sets and lack of standardization of data collection as well as present mechanisms of explainability to ensure patient safety. In a rapidly evolving field, this narrative review summarizes the current literature on AI application to gynecologic surgery.
期刊介绍:
"Obstetrics & Gynecology," affectionately known as "The Green Journal," is the official publication of the American College of Obstetricians and Gynecologists (ACOG). Since its inception in 1953, the journal has been dedicated to advancing the clinical practice of obstetrics and gynecology, as well as related fields. The journal's mission is to promote excellence in these areas by publishing a diverse range of articles that cover translational and clinical topics.
"Obstetrics & Gynecology" provides a platform for the dissemination of evidence-based research, clinical guidelines, and expert opinions that are essential for the continuous improvement of women's health care. The journal's content is designed to inform and educate obstetricians, gynecologists, and other healthcare professionals, ensuring that they stay abreast of the latest developments and best practices in their field.