Artificial Intelligence in Minimally Invasive Gynecological Surgery: A Systematic Review of Task- Specific Performance and Clinical Translational Readiness
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The authors aimed to systematically evaluate the task-specific performance and clinical readiness of artificial intelligence (AI) applications in minimally invasive gynecological surgery (MIGS) across preoperative, intraoperative, and postoperative phases. Their review identified that while AI models showed promising sensitivity and potential benefits in surgical planning, most studies had high risk of bias and limited external validation, indicating a need for multicenter prospective validation before routine clinical adoption.
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