News-Medical.Net October 25, 2024
Ludwig-Maximilians-Universitaet Muenchen (LMU)

Researchers from LMU, TU Berlin, and Charité have developed a new AI tool that uses imaging data to also detect less frequent diseases of the gastrointestinal tract.

Already used in many areas of medicine, AI has tremendous potential when it comes to helping doctors diagnose diseases with the help of imaging data. However, AI models have to be trained with large numbers of examples, which are generally available in sufficient quantities only for common diseases.

It’s as if a family doctor only had to diagnose coughs, runny noses, and sore throats. The actual challenge is to also detect the less common diseases, which current AI models often overlook or misclassify.”

Together with the group of Professor Klaus-Robert Müller...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Provider, Technology
Cofactor AI Nabs $4M to Combat Hospital Claim Denials with AI
Set Your Team Up to Collaborate with AI Successfully
What’s So Great About Nvidia Blackwell?
Mayo develops new AI tools
Medtronic, Tempus testing AI to find potential TAVR patients

Share This Article