Applications of Artificial Intelligence to Eosinophilic Esophagitis

Eric Reuben Smith, Jay Shah

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations

Abstract

Eosinophilic Esophagitis (EoE) is a chronic immune-related inflammation, and challenges to its diagnosis and treatment evaluation persist. This literature review evaluates all AI applications to EOE, including 15 studies using AI algorithms for counting eosinophils in biopsies, as well as newer diagnostics using mRNA transcripts in biopsies, endoscopic photos, blood and urine biomarkers, and an improved scoring system for disease classification. We also discuss the clinical impact of these models, challenges faced in applying AI to EoE, and future applications. In conclusion, AI has the potential to improve diagnostics and clinical evaluation in EoE, improving patient outcomes.

Original languageEnglish (US)
Pages (from-to)218-227
Number of pages10
JournalGastroenterology Insights
Volume13
Issue number3
DOIs
StatePublished - Sep 2022

Keywords

  • artificial intelligence
  • eosinophilic esophagitis
  • machine learning

ASJC Scopus subject areas

  • Hepatology
  • Gastroenterology

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