CAI-X and LiverTrail project in local newspaper

Artificial Intelligence can help detect liver fibrosis. 

Researchers from the Maersk McKinney Moller Institute at the University of Southern Denmark (SDU), the Centre for Liver Research FLASH at Odense University Hospital (OUH) and Head of Technical Research at CAI-X Esmaeil S. Nadimi have developed an algorithm to detect scar tissue (fibrosis) on the liver through an ordinary blood sample. If the fibrosis is not detected it may lead to cirrhosis of the liver and cancer, but the algorithm can help detect the fibrosis sooner and thereby improve prospects for the patient.


Read the article from Fyens Stiftstidende “Fynske forskere har fundet løsningen: Kunstig intelligens kan afsløre alvorlig leversygdom, før det er for sent” (in Danish only).

The results are also published in the first publication from CAI-X: Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care which was published in Scientific Reports, part of the Nature portfolio