Research
New publication from FLASH: LiverAID
FLASH and SDU researchers have developed a new set of artificial intelligence algorithms that can predict advanced liver fibrosis with very high accuracy
The prevalence of fatty liver disease is increasing with the obesity pandemic and the condition develops, in silence, into liver fibrosis, cirrhosis. A condition with high mortality. Early diagnosis would allow the application of targeted interventions to stop this process before it is too late - the sooner, the better.
The new LiverAID algorithm can predict advanced liver fibrosis in low-prevalence populations using routinely available patient data and may very well prove to be a valuable screening tool for early identification of patients with asymptomatic chronic liver diseases in primary care.
Read more in the article, which is the first publication affiliated with the Center for Artificial Intelligence at OUH. The article is published in Scientific Reports, part of the Nature Portfolio (DOI: 10.1038/s41598-022-06998-8).
The article is written in collaboration between FLASH and The Mærsk McKinney Møller Institute at SDU by Victoria Blanes-Vidal, Katrine Prier Lindvig, Maja Thiele, Esmaeil S. Nadimi & Aleksander Krag.
Read the article
Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care