SAN JOSE, CA - Do the developers of artificial intelligence (AI) algorithms really understand radiology? There are three questions AI developers should consider when they start developing AI for medical imaging, according to Dr. Christopher Hess, PhD, chair of the radiology department at the University of California, San Francisco, who spoke at this week's Nvidia GPU Technology Conference (GTC 2019).
