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Artificial Intelligence and Gynecologic Surgery
DOI:10.1097/AOG.0000000000006052.png)
摘要
En 中文
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.
Keyword:
VALIDATION
SKILL
期刊
IF:
4.7
论文数:
1.8W
被引数:
3.5W
机构
引用论文
Development and Validation of Objective Performance Metrics for Robot-Assisted Radical Prostatectomy: A Pilot Study
JOURNAL OF UROLOGY
IF6.8
A deep-learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy
BJU INTERNATIONAL
IF4.4
Utilizing Machine Learning and Automated Performance Metrics to Evaluate Robot-Assisted Radical Prostatectomy Performance and Predict Outcomes利用机器学习和自动化性能指标评估机器人辅助根治性前列腺切除术的性能并预测结果

