A Machine-Based Learning Model for Recurrence Prediction and Timing After Endoscopic Eradication Therapy for Barrett's Esophagus.

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Bibliographic Details
Title: A Machine-Based Learning Model for Recurrence Prediction and Timing After Endoscopic Eradication Therapy for Barrett's Esophagus.
Authors: Akshintala V; Division of Gastroenterology, Johns Hopkins Medical Institutions, Baltimore, Maryland., Han S; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota., Yan Y; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland., Bisschops R; Department of Gastroenterology and Hepatology, UZ Leuven, Leuven, Belgium., Brennan C; Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado., Cai Y; Division of Gastroenterology, Johns Hopkins Medical Institutions, Baltimore, Maryland., Codipilly DC; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota., Cotton C; Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina., Early D; Division of Gastroenterology, Washington University School of Medicine, St Louis, Missouri., Edmundowicz SA; Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado., Eluri S; Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida., Gallegos J; Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado., Goyal R; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota., Hammad HT; Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado., Haidry R; Department of Gastroenterology, Cleveland Clinic London, London, United Kingdom., Hollander T; Division of Gastroenterology, Washington University School of Medicine, St Louis, Missouri., Husain K; Division of Gastroenterology, Johns Hopkins Medical Institutions, Baltimore, Maryland., Iyer PG; Division of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona., Jojo J; Division of Gastroenterology and Hepatology, Northwestern Feinberg School of Medicine, Chicago, Illinois., Kushnir V; Division of Gastroenterology, Washington University School of Medicine, St Louis, Missouri., Komanduri S; Division of Gastroenterology and Hepatology, Northwestern Feinberg School of Medicine, Chicago, Illinois., Leggett C; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota., Lovat L; Division of Surgery and Interventional Sciences, University College London, London, United Kingdom., Muthusamy VR; Vatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angles, Los Angeles, California., Rastogi A; Division of Gastroenterology and Hepatology, University of Kansas, Kansas City, Kansas., Seewald S; Center for Gastroenterology, Hirlanden Clinic Zurich, Zurich, Switzerland., Shaheen NJ; Division of Gastroenterology and Hepatology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina., Thaker A; Vatche and Tamar Manoukian Division of Digestive Diseases, University of California, Los Angles, Los Angeles, California., Vantanasiri K; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota., Jones C; Department of Computer Science, Johns Hopkins University, Baltimore, Maryland., Wani S; Division of Gastroenterology and Hepatology, University of Colorado Anschutz Medical Campus, Aurora, Colorado. Electronic address: sachin.wani@cuanschutz.edu.
Source: Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association [Clin Gastroenterol Hepatol] 2026 Apr 07. Date of Electronic Publication: 2026 Apr 07.
Publication Type: Journal Article
Journal Info: Publisher: W.B. Saunders for the American Gastroenterological Association Country of Publication: United States NLM ID: 101160775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1542-7714 (Electronic) Linking ISSN: 15423565 NLM ISO Abbreviation: Clin Gastroenterol Hepatol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1542-7714
DOI:10.1016/j.cgh.2026.03.026