Neuro-oncology experts release clinical practice guidelines for using AI in brain cancer diagnosis, monitoring, treatment

Share on facebook
Share on twitter
Share on linkedin
Share on email
Share on print

An international, multidisciplinary team of leading neuro-oncology researchers and clinicians has released new recommendations for good clinical practice—a set of guidelines that helps ensure clinical trial results are reliable, and patients are protected—regarding the use of artificial intelligence methods to more accurately diagnose, monitor, and treat brain cancer patients. The team recently published two companion...

To access this subscriber-only content please log in or subscribe.

If your institution has a site license, log in with IP-login or register for a sponsored account.*
*Not all site licenses are enrolled in sponsored accounts.

Login Subscribe
Table of Contents

YOU MAY BE INTERESTED IN

Jason Chiang and Kyung Sung of the Department of Radiological Sciences at the David Geffen School of Medicine at UCLA and the UCLA Health Jonsson Comprehensive Cancer Center have received a $3.2 million, five-year grant from NCI to develop an artificial intelligence-enhanced imaging platform designed to improve yttrium-90 (Y90) radioembolization planning for patients with liver cancer.

Never miss an issue!

Get alerts for our award-winning coverage in your inbox.

Login