John Mongan

John Mongan, MD, PhD, is a Clinical Professor of Radiology and Associate Chair for Translational Informatics at the University of California, San Francisco (UCSF). He specializes in abdominal imaging and ultrasound, with a focus on artificial intelligence (AI) in medical imaging. His work includes developing AI algorithms for pneumothorax detection, leading the development of the CLAIM guideline for reproducible AI research, and chairing the RSNA Artificial Intelligence Committee. He is also a leader in IT governance at UCSF, overseeing research IT budgets and AI oversight committees.

Education: MD (2008) and PhD in Bioinformatics (2006) from UC San Diego; BS in Chemistry (1999) from Stanford University. Residency and fellowship in radiology at UCSF.

Research Interests: AI in medical imaging, machine learning applications in radiology, data science, and regulatory frameworks for AI deployment. He has pioneered AI challenges and datasets, such as the RSNA Pulmonary Embolism CT Dataset and the RATIC dataset, fostering global collaboration in AI research.

Publications: Over 150 peer-reviewed articles, including high-impact work on AI-driven imaging solutions, checklist guidelines for AI research, and consensus statements on trustworthy AI in healthcare.

Awards: Recognized for resident research (Margulis Society), academic excellence, and leadership in AI governance. He serves on editorial boards and lectures internationally on AI in radiology.

Labs/Teams: Leads UCSF initiatives in translational informatics, AI dataset curation, and governance of clinical AI tools. Collaborates with global societies like RSNA and MICCAI to advance AI standards.