An AI oncologist to help cancer patients worldwide

(University of Texas at Austin, Texas Advanced Computing Center) Before performing radiation therapy, oncologists review medical images to identify tumors and surrounding tissue, a process known as contouring. Researchers from MD Anderson Cancer Center developed a new method for automating the contouring of high-risk clinical target volumes using artificial intelligence and supercomputers. They found the predicted contours could be implemented clinically, with only minor or no changes. Results appear in the June 2018 issue of the International Journal of Radiation Oncology*Biology*Physics.
Source: EurekAlert! - Cancer - Category: Cancer & Oncology Source Type: news