Topic List : Imaging
AI to help detect brain aneurysms
Radiologists improved their diagnoses of brain aneurysms with the help of an artificial intelligence algorithm developed by Stanford medical experts and computer scientists.
Algorithm success in screening for disease
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
$9.6 million grant to Stanford team
The Stanford project, led by neuroscientists Tony Wyss-Coray and Marion Buckwalter, will focus on the influence of immune factors and systemic inflammation on the brain.
Technique for quickly spotting TB
A newly created two-piece fluorescent probe gets activated when it comes in contact with tuberculosis bacteria in a phlegm.
Innovations in kids’ MRI scans
Stanford pediatric radiologist Shreyas Vasanawala is tailoring MRI equipment to children. His work allows young patients to receive faster MRI exams that require less anesthesia.
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."…