Speaker Profile
PMWC LUMINARY AWARD
M.D., Ph.D., Senior Associate Vice Provost for Research, Stanford U.
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 (A IMI Center), which comprises over 250 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotz's laboratory develops machinelearning methods to detect disease and eliminate diagnostic errors. He has led many national and international efforts to improve medical imaging, including the Rad Lex 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
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Keynote: The Future of AI in Medical Imaging
• Curtis P. Langlotz, Stanford University
From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon Medical
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Fireside Chat
• Eric Horvitz, Microsoft
• Curtis P. Langlotz, Stanford University
Getting Real Results with AI: Better Molecules, Smarter Devices, Faster Innovation
• Martin Stumpe, Danaher
Keynote: AI Tools for Cancer Diagnostics and Treatment
• Regina Barzilay, MIT
Core AI Methods for Precision Medicine Foundations
• Chair: Sharat Israni, UCSF
• James Zou, Stanford University
From Multimodal Data to Clinical Digital Twins: Linking Imaging, Omics, and Decisions
• Stephen Quake, Stanford
AI & Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
AI-Enhanced Imaging: Radiomics, Radiogenomics, and Simulation
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
• Maria del Mar Alvarez-Torres, Columbia University
Clinical Workflow Integration & Decision Support in Imaging
• Chair: Sharat Israni, UCSF
• David S. Liebeskind, UCLA
• Rajesh Shah, UCSF
• Roxana Daneshjou, Stanford University
• Mohammad Alexanderani, U Pitt
AI-Powered Serverless HPC for Scientific Discovery
• Fengbo Ren, Fovus
