证书授予
标准化
医学
生殖医学
数据收集
机械人手术
医学物理学
普通外科
计算机科学
医学教育
怀孕
数学
遗传学
生物
统计
操作系统
作者
Grace M. Pipes,Andrew J. Hung,Kenneth H. Kim
标识
DOI:10.1097/aog.0000000000006052
摘要
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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