MRI,使

Lorenzo Storino Ramacciotti1, Jacob S Hershenhouse1, Daniel Mokhtar1

  • 1USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA; Center for Image-Guided and Focal Therapy for Prostate Cancer, Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.

概括

人工智能 (AI) 框架在MRI扫描上显示前列腺癌检测和细分的前景. 这项研究使用开源MRI数据评估了AI性能,突出了它提高诊断准确性的潜力.