Speaker Profile
M.D., Ph.D., Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), Stanford
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 150 faculty at Stanford who conduct interdisciplinary machine learning research to promote health. Dr. Langlotzs 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 Medical Imaging in the AI Era
We will review the origins of AI and its applications to medical imaging and associated text, define key terms, and show examples of real-world applications that suggest how AI may change the practice of medicine. We will also review key shortcomings and challenges that may limit the application of AI to medical imaging.
Session Abstract – PMWC 2025 Silicon Valley
Track Co-Chairs:
Cherodeep Goswami, UW Health
- PMWC 2025 Award Ceremony
Pioneer Honoree: Paul J. Chang, University of Chicago - Keynote: AI in Radiology: A Reality Check (Climbing out of the Trough of Disillusionment)
- Paul J. Chang, University of Chicago
- AI in Radiology and Imaging Applications (PANEL)
Chair: Curtis P Langlotz, Stanford
- Paul J. Chang, University of Chicago
- Sharmila Majumdar, UCSF
- Eliot Siegel, VA Maryland Healthcare System
- Katherine Andriole, Brigham and Women's Hospital - Using Imaging AI to Better Understand Health and Aging
- Daniel Durand, Prenuvo
- AI Transforming Standard-of-Care Imaging into Precision Diagnostics
- Angel Alberich, Quibim
- Accelerating Risk Assessment and Diagnosis with AI
Chair: Pavan Anne, ZS
- Omar Perez, AstraZeneca
- Charles Powell, Mount Sinai - Overcoming Practice Gaps in Precision Medicine: Addressing Patient Leakage (PANEL)
Chair: Joe Zaccaria, KPMG
- Ed Kim, City of Hope
- Chris Scotto DiVetta, Tempus
- Karlo Martin, HCA Healthcare
- Shared Opportunities to Unlock AI's Potential in R&D (PANEL)
Chair: Brice Sarver, ZS
- Carlyn Crisostomo, Amgen
- Bill Mayo, BMS
- Stacie Calad-Thomson, Nvidia
- AI-Powered Remote Monitoring and Mental Health: Innovations and Challenges
- Sam Perli, ThinkHat
- Shah Nawaz, Regeneron
- David Rhew, Microsoft
- AI Unlocks the Clinical Utility of Spatialomics
- Matthew Goldberg, Castle Bio
- Practical Implications of Ethical Challenges in AI-driven Precision Medicine(PANEL)
Chair: Cherodeep Goswami, UW Health
- Tina Hernandez-Boussard, Stanford
- Lucia Savage, Omada Health
- Sean Hain, Epic
- Misha Mehta, Neev Kolte & Brave Ronil Foundation
