The American Society of Neuroradiology (ASNR) announced that Peter Chang, MD, a neuroradiology fellow at the University of California San Francisco, has received the Cornelius G. Dyke Memorial Award for his recent research involving deep learning technologies.
Chang, who is also co-director of the UCI Center for Artificial Intelligence in Diagnostic Medicine (CAIDM), helped develop a deep learning system that can detect hemorrhages on non-contrast CT head exams with 97 percent accuracy. The system was used on more than 10,000 non-contrast CT exams to test its efficiency.
“I am deeply honored to receive this prestigious award from the American Society of Neuroradiology,” Chang said in a prepared statement. “I appreciate the support of my research team and those involved in helping advance the research of convolutional neural networks for medical image recognition.”
Canon Medical Systems USA sponsored Chang’s research. Dominic Smith, senior director of CT, PET/CT and MR business units at Canon Medical Systems USA, said in the same statement that Chang’s work in deep learning was “extraordinary.”
“His research is an important milestone in better understanding the tremendous potential for deep learning tools to improve patient care—an area we are deeply committed to,” Smith said.