Artificial Intelligence in Pancreatic Ductal Adenocarcinoma Imaging: A Commentary on Potential Future Applications
Megan Schuurmans, Natália Alves, Pierpaolo Vendittelli, Henkjan Huisman, John J. Hermans, Geert Litjens, David K. Chang, Caroline S. Verbeke, Núria Malats, Matthias Löhr
Abstract
Pancreatic cancer is one of the deadliest cancers worldwide, with a 5-year survival rate of less than 5%.1 Pancreatic ductal adenocarcinoma (PDAC), the most common and aggressive type of pancreatic cancer, has become a medical emergency in the past decades. PDAC cannot be effectively prevented or screened for and is associated with 98% life expectancy loss and a 30% increase in disability-adjusted life-years.2,3 Still, research funding for PDAC remains significantly lower than for other cancer types, leading it to be flagged as a neglected cancer by both the European Commission and the United States Congress.