MRI

Xiaofeng Jiang1, Hengyu Zhao1, Oliver Lester Saldanha1

  • 1From the Departments of Colorectal Surgery and General Surgey (X.J., H.Z., X.W., J.K.) and Radiology (X.M.), the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou, China (X.J., H.Z., X.W., X.M., J.K.); Department of Medicine III (X.J., O.L.S., J.N.K.), Department of Diagnostic and Interventional Radiology (X.J., S.N., C.K., D.T.), and Department of Surgery and Transplantation (I.A., S.A.L.), University Hospital RWTH Aachen, Aachen, Germany; and Else Kröner Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany (X.J., O.L.S., J.N.K.).

Radiology
|June 6, 2023
PubMed
概括

使用MRI扫描的深度学习模型可以预测直肠癌存活率. 这种人工智能工具有助于手术前风险分层,以获得更好的患者结果.