The article by Szabolcs Kiss, József Pintér, Roland Molontay, Marcell Nagy, and the colleagues of the Hungarian Pancreatic Study Group entitled Early prediction of acute necrotizing pancreatitis by artificial intelligence: a prospective cohort-analysis of 2387 cases, was published in Scientific Reports.

In this research, we used interpretable machine learning tools for the early prediction of acute necrotizing pancreatitis. The predictive potential of our developed machine learning model is comparable to the current clinical scoring systems and has several advantages over them.