Artificial Intelligence and Gynecologic Surgery

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.

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Publication Details

Journal
Obstetrics and Gynecology
Published
2025-08-28
DOI
https://doi.org/10.1097/aog.0000000000006052
Citations
1
Primary Topic
Surgical Simulation and Training
Type
article
Field-Weighted Citation Impact
2.01
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article

Artificial Intelligence and Gynecologic Surgery

Kenneth H. Kim, Andrew J. Hung, Grace M. Pipes
1 citations
Obstetrics and Gynecology
Surgical Simulation and Training
2.01
article

Artificial Intelligence and Gynecologic Surgery

Kenneth H. Kim, Andrew J. Hung, Grace M. Pipes
article en
1 citations

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.

Obstetrics and GynecologyVol. 146(5)
Cedars-Sinai Medical Center (US)
Openalex Percentile: Top 12%
Surgical Simulation and Training
2.01
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