A Machine-Based Learning Model for Recurrence Prediction and Timing After Endoscopic Eradication Therapy for Barrett’s Esophagus
Year: 2026
Type: article
Authors: Venkata Akshintala, Samuel Han, Yukun Yan, Raf Bisschops, Case Brennan, Yanna Cai, D. Chamil Codipilly, Cary Cotton, Dayna Early, Steven A. Edmundowicz, Swathi Eluri, Jazmyne Gallegos, Rohit Goyal, Hazem T. Hammad, Rehan Haidry, Thomas Hollander, Khalid Husain, Prasad G. Iyer, Justeena Jojo, Vladimir Kushnir, Srinadh Komanduri, Cadman Leggett, Laurence Lovat, V. Raman Muthusamy, Amit Rastogi, Stefan Seewald, Nicholas J. Shaheen, Adarsh Thaker, Kornpong Vantanasiri, Craig Jones, Sachin Wani
Institutions: Johns Hopkins Medicine, Mayo Clinic, Johns Hopkins University, Universitair Ziekenhuis Leuven, University of Colorado Anschutz, University of North Carolina at Chapel Hill, Washington University in St. Louis, Mayo Clinic in Florida, Cleveland Clinic London, Mayo Clinic in Arizona, Northwestern University, University College London, University of California, Los Angeles, University of Kansas, Klinik Hirslanden
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7151035543