Healthcare IT News January 3, 2020
Bill Siwicki

The NYU School of Medicine’s technology enables radiologists to see images the way they currently see them, then, if they deem necessary, ask the AI for its opinion. Results to date are impressive.

There are various known issues with screening mammography.

Probably the most important one is the fact that even though relatively few women actually develop breast cancer, many women are asked for additional imaging following screening mammography (such as diagnostic mammography, ultrasounds and MRI), which is a big cost both in terms of money spent and the stress it causes patients.

Putting AI to work in radiology

Dr. Krzysztof J. Geras, assistant professor, department of radiology, at the NYU School of Medicine, led an AI-powered effort to tackle...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

Continue Reading

 
Topics: AI (Artificial Intelligence), Health System / Hospital, Physician, Provider, Radiology, Technology
Related Articles:
STAT+: After AI protein folding, David Baker’s lab identifies millions of smaller drug candidates
Alphabet shares jump 14% on earnings beat, first-ever dividend
Microsoft: Unlocking AI Benefits Will Require Cultural Changes for Enterprises
Zephyr AI Raises $111 Million in Series A Financing
Chatbot answers are all made up. This new tool helps you figure out which ones to trust.

Share This Article