Stanford Radiology faculty push the boundaries of innovation in physics and engineering to develop cutting-edge methods for enhanced anatomic and functional imaging. Our diverse multidisciplinary teams of scientists play a very important role in the development of personalized medicine by moving advances from the laboratories to the clinic for improved patient-centric care.
Predicting success of lung cancer drug
With the help of a new radioactive tracer, doctors can predict with more than 80 percent accuracy how well a widely-used lung cancer drug will combat tumors, according to researchers at Stanford.
Imaging program launches seminar series
A seminar series that aims to fosters cross-disciplinary discussions about medicine and disease will begin Jan. 31 with an event led by Douglas Lowy, deputy director of the National Cancer Institute.
Peering into kids’ bones
Mary Leonard, chair of the Department of Pediatrics at Stanford, works to understand exactly how chronic diseases hurt children’s bone health.
Chest X-ray algorithm
Stanford researchers have developed a deep-learning algorithm that evaluates chest X-rays for signs of disease.
Big advance in 3-D tissue imaging
Stanford scientists have found a relatively simple, low-cost fix that substantially improves images obtained via a widely used optical scanning technique, opening the door to "virtual biopsies."…
Upcoming CME Courses
Conferences and Workshops
Bones, Body and Brain MRI: Stanford Imaging Update 2018
Marriott Wailea Beach Resort, Maui, Hawaii
CARDIA: Cardiac Arrhythmia, Sudden Death, Inherited Cardiovascular Disease, Athletes
Paul Brest Hall, Stanford University
7th Annual Navigating Spine Care 2018
Li Ka Shing Center for Learning and Knowledge - Stanford, CA
Bridging Breakthroughs in Neuroscience from Bench to Bedside
Li Ka Shing Center for Learning and Knowledge, Stanford University
Stanford Breast in the West: Multi-Modality Breast Imaging Symposium for Radiologists and Technologists
Monterey Plaza Hotel, Monterey, CA
New courses are added regularly— please check back often
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