Speaker: Akshay Chaudhari, PhD | Assistant Professor, Department of Radiology and Biomedical Data Science, Stanford University
Date: Monday, March 17th, 2025
Time: 10:00 AM Central Time
Location: Zoom
Title: “Vision-Language Models for Radiology AI”
Abstract: In this talk, I will describe the impact that language models can have for the field of radiology, which has long utilized computer vision methods only. I will describe the use of some pure large language models (LLMs) for radiology text, and then transition to how these domain-specific LLMs can enable improved image understanding, image captioning, and synthetic image generation tasks. I will end with a brief description of how our evaluation techniques need to keep pace with new model developments.
Bio: Dr. Chaudhari is an Assistant Professor of Radiology and Biomedical Data Science. Dr. Chaudhari leads the Machine Intelligence in Medical Imaging research group at Stanford focusing on improving both the acquisition and analysis of medical images and related healthcare data. His group develops new self-supervised and representation learning techniques for multi-modal deep learning for healthcare using vision, language, and medical records data. . Dr. Chaudhari’s research is funded by the NIH, ARPA-H, and several industry partners. He also serves as the Interim Division Chief of the Integrative Biomedical Imaging Informatics section in Radiology, the Co-Director of Clinical AI at Stanford Radiology, and as the Associate Director of Research and Education at the Stanford AIMI Center.