Using Artificial Intelligence to Predict Cirrhosis From Computed Tomography Scans.

Journal: Clinical and translational gastroenterology
PMID: 37436183

Abstract

INTRODUCTION: Undiagnosed cirrhosis remains a significant problem. In this study, we developed and tested an automated liver segmentation tool to predict the presence of cirrhosis in a population of patients with paired liver biopsy and computed tomography (CT) scans.

Authors

  • Nikhilesh R Mazumder
    Division of Gastroenterology, Northwestern Memorial Hospital, Chicago, IL, United States of America.
  • Binu Enchakalody
    Department of Surgery, University of Michigan Medical School, Ann Arbor, Michigan, USA.
  • Peng Zhang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Grace L Su
    Michigan Medicine, Department of Internal Medicine, Division of Gastroenterology and Hepatology, Ann Arbor, Michigan, United States of America.

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