Bridging the Communication Gap: Multilingual Patient-Friendly Radiology Reports Generated Using Large Language Models
Yannan Yu, MD
Resident, Diagnostic Radiology (PGY5)
UCSF Department of Radiology and Biomedical Imaging
Yannan Yu, MD, is a Diagnostic Radiology resident at the University of California, San Francisco, with research interests focused on neuroradiology, stroke imaging, artificial intelligence, and advanced MRI techniques. Prior to residency, Dr. Yu completed research fellowships at Stanford University and the University of California, Los Angeles, where she worked on machine learning applications in cerebrovascular imaging and acute ischemic stroke. Her work has contributed to the development of deep learning models for stroke prediction, imaging-based outcome assessment, and patient-centered radiology communication tools using large language models. Dr. Yu has authored numerous peer-reviewed publications in journals including Radiology, Stroke, JAMA Network Open, and the American Journal of Neuroradiology, and has received multiple honors recognizing her contributions to neuroradiology and clinical research.