Maggie Chung

Maggie Chung, MD is an Assistant Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF), specializing in breast imaging. She holds affiliations with UCSF’s Center for Intelligent Imaging (ci²) and the Clinical Trials Committee. Her roles include membership in key institutional committees such as the Radiology Residency Admissions Committee and Quality Assurance Committee.

• Education: Medical degree from Warren Alpert Medical School of Brown University, internship at Scripps Mercy Hospital (San Diego), diagnostic radiology residency and breast imaging fellowship at UCSF.

Dr. Chung’s research focuses on advancing artificial intelligence (AI) tools for breast imaging, including simulated contrast-enhanced MRI via deep learning, breast cancer risk prediction models, and improving mammography assessment through AI-driven risk stratification. Her work bridges clinical translation of AI technologies with personalized screening strategies.

Her publications reflect expertise in AI applications, breast imaging techniques, and oncologic imaging challenges. Key trends include optimizing AI accuracy in mammography/tomosynthesis, enhancing early cancer detection, and addressing incidental findings in MRI. Recent studies also explore AI’s role in risk assessment and clinical decision-making.

• Awards: Bakar Fellows Spark Award (2024-2027), RSNA Research Scholar Award (2024-2026), Jaws Award (2024), and multiple resident/fellow awards recognizing her research excellence.

In grants, she serves as Co-Principal Investigator for NIH-funded AI research and leads initiatives like the Radiological Society of North America’s deep learning-based MRI project. Her service roles reflect leadership in academic radiology and policy development for imaging guidelines.

She contributes to UCSF’s ci² group, advancing intelligent imaging technologies, and collaborates on clinical trials integrating AI into breast cancer screening workflows.