Dr. Langlotz is Professor of Radiology, Medicine and Biomedical Data Science, and serves as the Senior Associate Vice Provost for Research at Stanford University.
"MICCAI continues to be one of the leading conferences for AI in radiology. As a trained radiologist, I am encouraged by MICCAI's expanding interest in AI research with near-term clinical impact,” said Dr. Langlotz. "I truly believe that collaboration between radiologists and AI will be the optimal approach for the foreseeable future. So, it is especially gratifying to serve as a keynote speaker this year.”
In his presentation titled "Developing and Deploying Machine Learning in the Reading Room”, Dr. Langlotz will feature several examples of radiology algorithms that are already significantly improving patient outcomes. He will share how the current wave of applications is just the beginning of the AI revolution in radiology. New methods with even greater impact are on their way, including foundation models and large vision-language models capable of drafting reports.
"I am excited about the next wave. Both approaches offer clear benefits for practicing radiologists and will have steeper adoption curves,” explained Dr. Langlotz. "My talk will describe this progression and highlight how innovations developed in the lab should be deployed and monitored in the reading room.”
Don't miss this exciting presentation! Dr. Langlotz will be speaking today at 9:30 am in DCC1 - Room 201/202 (Main Hall).
Dr. Langlotz is Professor of Radiology, Medicine and Biomedical Data Science, and serves as the Senior Associate Vice Provost for Research at Stanford University. His NIH-funded laboratory develops machine learning methods to improve the accuracy and efficiency of medical image interpretation. He is also ta Senior Fellow at Stanford's Institute for Human-Centered Artificial Intelligence and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which supports over 200 faculty at Stanford who pursue interdisciplinary machine learning research to improve clinical care.
He has published over 200 scholarly articles and is the author of the book "The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals”.
Dr. Langlotz is the recipient of the Lee B. Lusted Research Prize form the Society of Medical Decision Making and the Career Achievement Award from the Radiology Alliance for Health Services Research. He has also served on the board of the Radiological Society of North America (RSNA) for seven years, was Chair from 2022-2023 and President from 2024-2025.
Raised in St. Paul, Minnesota, USA, Dr. Langlotz received his undergraduate degree in Human Biology, his master's degree in Computer Science, his MD in Medicine, and his PhD in Medical Information Science - all from Stanford University.