Chat with us, powered by LiveChat
REGISTER NOW

SAVE $1151 BY NOV. 28

 Speaker Profile

M.D., Professor, UCSF

Biography
Rajesh Shah, MD, earned his medical degree at The University of Chicago Pritzker School of Medicine in 2004, followed by a diagnostic radiology residency at University of Illinois Medical Center in Chicago (2009) and a vascular and interventional radiology fellowship at Stanford University Hospital in 2010. Since 2023 he has been Director of Interventional Radiology at the California Pacific Medical Center, Clinical Associate Professor at Stanford University, and an Interventional Radiologist at the VA Palo Alto Health Care System, where he has served in various leadership roles. Prior experience includes private practice and faculty roles at Weill Cornell Medical College and Memorial Sloan-Kettering Cancer Center in New York City. As an educator, Dr. Shah has mentored junior IR faculty at the VA Palo Alto, Stanford University, and at the California Pacific Medical Center. He has mentored trainees on research grants and created the VA resident rotation and mini-fellowship for IR-bound residents. Dr. Shah serves as the Society for Interventional Radiology (SIR) Division Councilor for Quality and Performance Improvement overseeing several committees dedicated to quality. In this role, he developed the Quality Improvement program for the SIR, and launched the VIRTEX Clinical Data Analytics Platform. Dr. Shah was appointed as affiliated faculty at the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI) and was awarded an AIMI grant to investigate machine learning in radiomics which has led to publications on machine learning in radiomics for lung cancer. He has published research on hepatocellular carcinoma, small-cell lung cancer, and embolic therapies. He is a Fellow of the Society of Interventional Radiology and active in the Society of Interventional Radiology and the American College of Radiology.


 Session Abstract – PMWC 2026 Silicon Valley

Track 2: AI - March 4 9.00 A.M.-4.45 P.M.


Track Chair:
Sharat Israni, UCSF

PMWC Award Ceremony
• Regina Barzilay, MIT
• Joe Petro, Microsoft (Dragon)
• Curtis P Langlotz, Stanford

Keynote
• Curtis P Langlotz, Stanford

From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P Langlotz, Stanford

Fireside Chat
• Chair: Eric Horvitz, CSO, 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

AI and Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure

Radiomics & Radiogenomics: Harnessing Precision Imaging for Oncology
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow

×

Add Names/PO on Receipt

Apply to Speak at PMWC Silicon Valley by NOV. 28TH

The PMWC team will reply back to a suitable company/topic with an official request for talk/speaker details.

Contact Us:

Fields marked with an * are required 

Contact Us:

Fields marked with an * are required 

Discover What's Next in Precision Medicine!

Join our community today for the latest news, exclusive interviews, and unique insights from world-renowned speakers and experts


Request Atul Butte Company Competition Submission Form

Fields marked with an * are required

Contact Us:

Fields marked with an * are required 

Trouble Registering

Fields marked with an * are required

Stay Tuned For More Information.

Sign up for occasional updates on upcoming conferences, news, and other information. 

Get Updates:

Submit to Speak in the PMWC Showcase

Fields marked with an * are required