Artificial Intelligence Helps to Detect Dangerous Colon Polyps

A study by Karl Landsteiner University of Health Sciences shows: With AI support, even junior doctors can already make accurate decisions during colorectal cancer screening.
By: KL Krems
 
KREMS, Austria - June 24, 2025 - PRLog -- Young doctors can distinguish between harmless and dangerous colon polyps during a colonoscopy just as reliably as experienced specialists – provided they are assisted by artificial intelligence (AI).This is the finding of a medical study from Lower Austria. The study examined the quality of the „optical diagnosis" made by endoscopy trainees when supported by the GI Genius® AI system. The results were striking: junior doctors achieved diagnostic accuracy comparable to their experienced colleagues. The study, which has been published internationally, was conducted by the University Hospital St. Pölten, a teaching and research centre of the Karl Landsteiner University of Health Sciences (KL Krems). These results could make colorectal cancer screening safer, more efficient, and more cost-effective – while also enhancing medical training.

Colorectal cancer is one of the most common types of cancer in Europe, but timely screening can be highly effective in preventing it. Colonoscopy is considered the gold standard for this purpose. It enables potentially dangerous colon polyps to be detected and removed at an early stage. However, accurately distinguishing between benign and potentially malignant polyps requires significant expertise. This type of assessment is known as „optical diagnosis". Until now, only internists with years of experience have been able to make such assessments with confidence. The new study aims to pave the way for less experienced physicians to make equivalent assessments. The study was conducted at the Divsion of Internal Medicine 2 at St. Pölten University Hospital (a teaching and research centre of KL Krems) under the direction of Prim. PD Dr. Andreas Maieron.

More Info here: https://kris.kl.ac.at/de/publications/the-augmented-colonoscopy-with-computer-aided-polyp-characterizat

Scientific Contact

Prim. PD Dr. Andreas Maieron

Karl Landsteiner University of Health Sciences

Division of Internal Medicine 2 University Hospital St. Pölten

T +43 2742/9004-12311

E interne2@stpoelten.lkno (mailto:interne2@stpoelten.lknoe.at)e.at (mailto:interne2@stpoelten.lknoe.at)

Copy Editing & Distribution

PR&D – Public Relations for Research & Education

Dr. Barbara Bauder-Jelitto

Kollersteig 68

3400 Klosterneuburg / Austria

M +43 664 1576 350

E bauder@prd.at

L https://www.linkedin.com/company/prd-public-relations-für-forschung-bildung (https://www.linkedin.com/company/prd-public-relations-f%C3%BCr-forschung-bildung)

W (mailto:interne2@stpoelten.lknoe.at) https://www.prd.at/

Contact
PR&D
***@prd.at
End
Source:KL Krems
Email:***@prd.at Email Verified
Tags:Cancer
Industry:Health
Location:Krems - Lower Austria - Austria
Account Email Address Verified     Account Phone Number Verified     Disclaimer     Report Abuse
PR&D - Public Releations for Research & Education News
Trending
Most Viewed
Daily News



Like PRLog?
9K2K1K
Click to Share