Christopher P. Hess, MD, PhD completed his clinical residency and fellowship training at UCSF after obtaining his doctorate in electrical engineering at the University of Illinois. His research interests lie in clinical and translational medical imaging, including artificial intelligence. A fellow of the American Institute for Medical and Biological Engineering, Dr. Hess has published over 150 peer-reviewed papers in clinical and scientific journals. His research has been funded by the NIH and multiple industry partners. A highly respected educator and leader, Dr. Hess has delivered over 150 presentations in more than 20 countries. He is on leadership of the International Society for Magnetic Resonance in Medicine, the Radiological Society of North America, the American Society of Neuroradiology and the Academy of Radiology and Biomedical Imaging Research, is Deputy Editor for Radiology and serves on the editorial board of the American Journal of Neuroradiology.
One of the most promising areas of health innovation is the application of artificial intelligence, machine learning, and deep learning primarily in medical imaging. The increase in the amount of data and the possibility to use ML/DL to identify findings either detectable or not by the human eye, radiology is now moving from a subjective perceptual skill to more objective science. Radiologists, who were at the forefront of the digital era in medicine, can guide the introduction of AI solutions that accommodate ethical and regulatory requirements into healthcare.