Deep Learning Model for Histologic Diagnosis of Dysplastic Barrett's Esophagus: Multisite Cohort External Validation

Our externally validated deep learning model demonstrates substantial accuracy for the diagnosis of BE dysplasia grade on WSIs.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-04-23
DOI
https://doi.org/10.14309/ajg.0000000000003495
Citations
1
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
2.01
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Deep Learning Model for Histologic Diagnosis of Dysplastic Barrett's Esophagus: Multisite Cohort External Validation

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The American Journal of Gastroenterology
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2.01
article

Deep Learning Model for Histologic Diagnosis of Dysplastic Barrett's Esophagus: Multisite Cohort External Validation

Nikita Garg, Shahriar Faghani, Prasad G. Iyer, Mary Wong, Nicholas J. Shaheen, Bradley J. Erickson, Catherine E. Hagen, Sameer Al Diffalha, Pallavi Patil, Mana Moassefi, David C. Vogelsang, Brian Brinkerhoff, Vani J. Konda, Don C. Codipilly, Sachin Wani, Fouad Otaki, Cadman L. Leggett, Shajan Peter, Jason Lewis, David A. Katzka
article en
1 citations

Abstract

Our externally validated deep learning model demonstrates substantial accuracy for the diagnosis of BE dysplasia grade on WSIs.

The American Journal of Gastroenterology
University of North Carolina at Chapel Hill (US), Mayo Clinic (US), Oregon Health & Science University (US), Columbia University Irving Medical Center (US), Jacksonville College (US), Baylor University Medical Center (US), University of Alabama at Birmingham (US), Baylor Medical Center at Garland (US), Mayo Clinic in Florida (US), University of Colorado Anschutz Medical Campus (US), Columbia University (US)
Quality Education
Openalex Percentile: Top 17%
Esophageal Cancer Research and Treatment
2.01
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