医学
肾切除术
泌尿科
人工智能
计算机科学
内科学
肾
作者
Saum Ghodoussipour,Sharath S. Reddy,Runzhuo Ma,Darryl Hwang,Jessica H. Nguyen,Andrew J. Hung
标识
DOI:10.1097/ju.0000000000001557
摘要
Experts are more efficient and directed in their movement during robotic assisted partial nephrectomy. Automated performance metrics during key steps correlate with objective measures of tumor complexity and may serve as predictors of clinical outcomes. These data help establish a standardized metric for surgeon assessment and training during robotic assisted partial nephrectomy.
科研通智能强力驱动
Strongly Powered by AbleSci AI