AI leads to greater confidence in diagnostic imaging

4 min
Hildegard Kaulen
Published on January 21, 2020

High-end devices in outpatient care? For Professor Ralf Bauer, a partner at RNS Gemeinschaftspraxis in Wiesbaden, high diagnostic quality is an essential precondition for any applications in radiology, including the use of artificial intelligence.

With the help of deep learning in CT scanning, radiologists may diagnose their patients faster.

Ralf Bauer expects that AI applications will make diagnoses more consistent.

Prof. Ralf Bauer is working with the Dual Source CT scanner SOMATOM Force.

RNS Gemeinschaftspraxis acquired the Dual Source CT scanner SOMATOM Force to expand their cardiac imaging. 

Prof. Ralf Bauer, partner at RNS Gemeinschaftspraxis Wiesbaden

By Hildegard Kaulen

Hildegard Kaulen, PhD, is a molecular biologist. Following positions at Rockefeller University in New York and Massachusetts General Hospital in Boston, she now works as a freelance science journalist for newspapers and scientific magazines.