SRG Pillar Meeting with Yannan Yu and Michael Romano
Monday, April 13
Meeting Details
Zoom Details:
Meeting ID: 922 7067 8528
Password: 845445
Speakers
Yannan Yu, MD
Radiology Resident, UCSF
Bridging the Communication Gap: Multilingual Patient-Friendly Radiology Reports Generated Using Large Language Models
Dr. Yannan Yu is currently a fourth-year radiology resident and T32 fellow at UCSF. Her research focuses on the intersection of artificial intelligence and medical imaging, advancing stroke care and neuroimaging. She has first-authored publications in journals such as Radiology, JAMA Open, and AJNR, and contributes to NIH-funded projects. Passionate about translating AI from bench to bedside, she is dedicated to developing clinically impactful tools that enhance diagnostic accuracy and patient outcomes.
https://www.linkedin.com/in/yannan-yu
@yannan_yu
Michael Romano, MD, PhD
Radiology Resident, UCSF
The UCSF PCNSL Dataset: A Primary Central Nervous System Lymphoma Imaging & Genomics Resource
Dr. Michael Romano is a diagnostic radiology resident at the University of California, San Francisco (UCSF), where he is a chief resident, and is pursuing the Early Specialization in Neuroradiology track, T32 research fellow under the mentorship of Dr. Andreas Rauschecker. His primary research interests focus on applying artificial intelligence and advanced neuroimaging to improve the diagnosis and treatment of neurological disease with a particular focus on neurodegeneration. He has contributed to several studies using neuroimaging and multi-modal data with AI both to distinguish different types of dementia and forecast Alzheimer’s disease onset. Dr. Romano is the recipient of the Martin R. Prince, MD/RSNA Research Resident Grant, a $50,000 award supporting his work on predicting anti-amyloid monoclonal antibody response in Alzheimer's disease using diffusion MRI during his T32 research fellowship year.
In addition to his work on neurodegenerative disease, he has also collaborated with the UCSF Dyslexia Center to investigate the neuroanatomical basis of dyslexia and ADHD co-occurrence, with a first-author manuscript under review at Cerebral Cortex. Most recently and most relevant to this talk, he has also curated the largest publicly available multimodal dataset of primary central nervous system lymphoma, comprising annotated multi-sequence MRI, next-generation sequencing, and clinical data for 150 patients with the support of the National Comprehensive Cancer Network.