A Summary of Artificial Intelligence in Gynecologic Surgery
Abstract
Artificial intelligence is transforming healthcare, including obstetrics and gynecology, with applications for diagnostics, outcome prediction, and clinical decision support. Gynecologic surgery has begun to utilize machine learning to harness the massive datasets generated by minimally invasive gynecologic procedures to objectively assess surgical skill, enhance preoperative planning, improve intraoperative anatomy recognition, and, most importantly, correlate surgical technique with patient outcomes. This narrative review summarizes the current state of artificial intelligence in gynecologic surgery, the challenges and limitations its application faces within the field, and possible future advances within gynecologic surgical care and patient safety.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Surgical Simulation and Training
Machine Learning in Healthcare
Publication details
- Journal / source
- Clinical Obstetrics & Gynecology
- Publisher
- Ovid Technologies (Wolters Kluwer Health)
- Volume
- 69
- Issue
- 1
- Pages
- 13–17
- Publication date
- 6 January 2026
- Language
- EN