Integrating Plain 2D Ultrasound and Clinical Data for Identification of At-Risk MASH: A Multicenter Proof of Concept Study.
BACKGROUND Identifying people with at-risk metabolic dysfunction-associated steatohepatitis (MASH) is a major challenge. We aimed to use deep learning to develop a convolutional neural network (CNN) model to facilitate the detection of at-risk MASH. METHODS A multi-center cohort study was conducted across five tertia...