Rajesh Shah

Rajesh Shah, MD

UCSF Profile

Interventional Radiology

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. He joined the faculty at Memorial Sloan-Kettering Cancer Center in New York City, where he also was an Assistant Professor at Weil Cornell Medical College. He moved to Stanford and the VA Palo Alto in 2011 where he built one of the premier IR centers in the national VA Healthcare system, including being the first VA to provide radioembolization therapy to patients with cancer in the liver. As Director of Interventional Radiology and Associate Chief of Radiology at VA Palo Alto, he helped to grow the Radiology team. In 2023, he moved to private practice at California Pacific Medical Center where he served as Director of Interventional Radiology. In 2024, he moved to UCSF as Professor of Radiology and Director of Clinical Trials for the Department of Radiology.
 
As an educator, Dr. Shah has mentored junior IR faculty at the VA Palo Alto, Stanford University, and UCSF. He has mentored trainees on research grants and created the VA Palo Alto 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 improvement. In this role, he developed the Quality Improvement program for the SIR, and launched the VIRTEX Clinical Data Analytics and Registry Platform, which is the only large data source for improving patient outcomes for the field of Interventional Radiology.
 
In research, 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.

Education and training

Fellowship, 2010 - Interventional Radiology, Stanford University
Residency, 2009 - Diagnostic Radiology, University of Illinois at Chicago
Internship, 2005 - Internal Medicine, California Pacific Medical Center, San Francisco, CA
MD, 2004 - , The University of Chicago Pritzker School of Medicine
BS, 1999 - Electrical Engineering, University of Illinois at Urbana-Champaign