John Mongan, MD, PhD, is the Associate Chair for Translational Informatics, Director of the Center for Intelligent Imaging and an Associate Professor of Clinical Radiology (Abdominal Imaging and Ultrasound section) in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco. He is board certified in both diagnostic radiology and clinical informatics.

His research focuses on artificial intelligence in medical imaging. He was the senior author and primary investigator on a project that developed artificial intelligence for the detection of pneumothorax (collapsed lung); in partnership with General Electric, the algorithm developed in this project achieved FDA clearance and is currently commercially available on portable X-ray machines. He is the lead author on the Checklist for Artificial Intelligence in Medical Imaging (CLAIM), a guideline used by several journals to promote reproducibility in artificial intelligence publications, and is the lead author on a publication drawing lessons for the safe implementation of artificial intelligence in medicine from the 737 Max disasters.

Dr. Mongan is nationally and internationally recognized as a leader and expert in artificial intelligence and machine learning. He chairs the Machine Learning Steering Committee of the Radiological Society of North America (RSNA, the world’s largest radiology specialty society). Through this committee, he organizes the assembly and curation of large multi-institutional medical imaging datasets and artificial intelligence contests using these datasets. These contests, conducted twice per year, attract over a thousand entrants. He serves on the editorial board of the journal Radiology: Artificial Intelligence, and represents the RSNA in organizing the national AI Safety Summit to be held for the first time in 2022. He has lectured on artificial intelligence at the annual meetings of the German Congress of Radiology, the Colombian Congress of Radiology, the international Medical Image Computing and Computer Assisted Intervention Society (MICCAI), and the RSNA.

Dr. Mongan also leads the University of California-wide effort to implement a clinical decision support system for ordering imaging that is compliant with the Protecting Access to Medicare Act (PAMA). He successfully obtained certification from the Center for Medicare and Medicaid Services (CMS) for the University of California to be recognized as a Qualified Provider Led Entity (QPLE) , able to create imaging appropriate use criteria (AUC) recognized as valid under PAMA. He chairs the UC QPLE steering committee, which has produced AUC covering six different clinical areas, available at qple.ucop.edu.