Narrative review summarizes artificial intelligence applications in gynecologic surgery, indicating potential for enhanced patient outcomes.
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.
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Pipes et al. (2026) studied this question.
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