Becker's Healthcare September 10, 2019
Andrea Park

Using automated deep learning software, physicians without any background in computer programming were able to develop effective artificial intelligence technology for medical image diagnostic classification, a recent study found.

As described in The Lancet Digital Health, scientists trained a deep learning system to classify common diseases based on medical imaging data. Physicians were tasked with using the system to create algorithms that could perform clinical classification and which fit into their individual workflows.

Nearly all of the resulting algorithms were found to be just as accurate in diagnostic classification as existing professionally developed algorithms. According to the study’s authors, these findings are promising for multiple reasons: Not only...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), HIM (Health Inf Mgmt), Market Research, Physician, Provider, RCM (Revenue Cycle Mgmt), Technology, Trends
Brave launches a real-time privacy-focused AI answer engine
Watch out, Boston Dynamics! Mentee Robotics unveils 'AI-first' robot
The Use of Artificial Intelligence in Lung Cancer Management
Responsible AI Requires a Delicate Balancing Act
UniDoc Brings AI-Powered Health Cube to Alaska

Share This Article