Osteoporosis

The professor and chair of radiology at Stanford was a global leader in advancing techniques for molecular imaging and early cancer detection.

Zatz was a radiologist ahead of his time, envisioning the framework behind some of today’s most advanced practices in radiology and AI-powered diagnostics.

Radiologists improved their diagnoses of brain aneurysms with the help of an artificial intelligence algorithm developed by Stanford medical experts and computer scientists.

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.

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.

A newly created two-piece fluorescent probe gets activated when it comes in contact with tuberculosis bacteria in a phlegm.

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.

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.

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.

Mary Leonard, chair of the Department of Pediatrics at Stanford, works to understand exactly how chronic diseases hurt children’s bone health.

Stanford researchers have developed a deep-learning algorithm that evaluates chest X-rays for signs of disease.