Diego Jaramillo

Alexander Vezeridis MD, PhD is an Assistant Professor of Radiology at Stanford University School of Medicine, and a physician-scientist specializing in Interventional Radiology. His clinical expertise includes interventional oncology, biliary disease and endoscopy, venous disease, portal hypertension, urologic interventions, women’s and men’s health interventions, and general vascular/interventional radiology. Dr. Vezeridis is an active researcher with expertise in translational techniques in engineering to make image-guided interventions safer and more effective for patients.Dr. Vezeridis obtained his undergraduate, MD, and PhD degrees from Boston University.

Sunita Pal is a highly qualified radiologist and interventional radiologist based in Palo Alto, California, serving as a Clinical Professor in Radiology. With extensive education from prestigious institutions, including Stanford University School of Medicine, Dr. Pal specializes in advanced imaging techniques and has contributed significantly to the field through numerous publications. Fluent in Bengali, Dr. Pal is dedicated to providing exceptional care and support to her patients, focusing on innovative approaches in breast imaging and intervention. Her work emphasizes the importance of compliance and follow-up in the management of breast lesions, reflecting her commitment to improving patient outcomes in radiology. Generated from the website

Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science and Senior Associate Vice Provost for Research at Stanford University. His laboratory investigates the use of deep neural networks and other machine learning technologies to detect disease and eliminate diagnostic errors through analysis of medical images and clinical notes. He is a Senior Fellow at Stanford’s Institute for Human-Centered Artificial Intelligence and Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which supports over 150 Stanford faculty conducting interdisciplinary artificial intelligence research that optimizes how clinical data are used to promote health.