A fully automated method of noninvasively detecting liver cirrhosis has been created with an AI-based neural network. Taught to distinguish patients with cirrhosis from those without it on the basis of electrocardiograms, the specificity and sensitivity in liver transplant patients exceeded 80%, according to the researchers.
“Once optimized and prospectively validated, our model has the potential to serve valuable roles in screening and caring for cirrhosis patients, particularly in