Speaker Profile
Biography
Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science, and Senior Associate Vice Provost for Research at Stanford University. He also serves as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which comprises over 250 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz's laboratory develops machine learning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the RadLex terminology standard and the Medical Imaging and Data Resource Center (MIDRC), a U.S. national imaging research resource.
Talk
The Future of AI in Medical Imaging
We will learn how AI will change the practice of medical imaging using current examples from the research laboratory, assess the shortcomings of AI that will limit the application of these new methods, and predict the effects of AI on the radiologist workforce.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair: Sharat Israni, UCSF
PMWC Award Ceremony Honorees
• Regina Barzilay, MIT
• Joe Petro, Microsoft (Dragon)
• Curtis P Langlotz, Stanford
Scaling AI from Radiology to the Entire Health System
• Joe Petro, Microsoft
From Foundation Models to Clinical Digital Twins: AI’s Next Leap in Medical Imaging
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P Langlotz, Stanford
Core AI Methods for Precision Medicine Foundation
• Chair: Sharat Israni, UCSF
• James Zou, Stanford
• Regina Barzilay, MIT
• Olivier Gevaert, Stanford
Foundation & Multimodal Models in Precision Medicine
AI-Enhanced Imaging: Radiomics, Radiogenomics & Simulation
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
Next-Generation AI for Quantitative Imaging Biomarkers
• Chair: Ángel Alberich-Bayarri, Quibim
Translational Data Science for Drug Development & Precision Trials
• Chair: Janusz Dutkowski, Data4Cure




