Machine learning enables new insights into genetic contributions to liver fat accumulation

• Main Authors: Mary E. Haas (Author), James P. Pirruccello (Author), Samuel N. Friedman (Author), Minxian Wang (Author), Connor A. Emdin (Author), Veeral H. Ajmera (Author), Tracey G. Simon (Author), Julian R. Homburger (Author), Xiuqing Guo (Author), Matthew Budoff (Author), Kathleen E. Corey (Author), Alicia Y. Zhou (Author), Anthony Philippakis (Author), Patrick T. Ellinor (Author), Rohit Loomba (Author), Puneet Batra (Author), Amit V. Khera (Author)
• Format: Book
• Published: Elsevier, 2021-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary: Excess liver fat, called hepatic steatosis, is a leading risk factor for end-stage liver disease and cardiometabolic diseases but often remains undiagnosed in clinical practice because of the need for direct imaging assessments. We developed an abdominal MRI-based machine-learning algorithm...