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.
Pipes et al. (Thu,) studied this question.