AuntMinnie November 6, 2019
Erik L. Ridley

It’s not enough for a healthcare artificial intelligence (AI) algorithm to be highly accurate. To be widely adopted in clinical use, it must demonstrate improvement in quality of care and patient outcomes, according to an opinion article published online October 29 in BMC Medicine.

This intelligent solution acts as an assistant, providing technologies and tools to enhance the radiologist’s expertise. Improving a radiologist’s interaction with images and enabling a rich and dynamic output for referring physicians can increase the value of the radiologist to the clinical care team.

A team from Google Health in London, U.K., led by Dr. Christopher Kelly, PhD, said that further work is needed to develop tools to address bias and unfairness in algorithms, to reduce...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Physician, Provider, Radiology, Technology
Hospitals Are Using AI To Help Manage Patient Messages to Physicians
ETH develops AI algorithm for drug discovery based on 3D protein surface
Space industry races to put AI in orbit
The unspoken obnoxiousness of Google’s Gemini improvements
AI bets pay off as Microsoft and Alphabet profits surge

Share This Article