Applications of Artificial Intelligence to Eosinophilic Esophagitis

Eric Reuben Smith; Jay Shah

doi:10.3390/gastroent13030022

Applications of Artificial Intelligence to Eosinophilic Esophagitis

Eric Reuben Smith, Jay Shah

Research output: Contribution to journal › Review article › peer-review

2 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 language	English (US)
Pages (from-to)	218-227
Number of pages	10
Journal	Gastroenterology Insights
Volume	13
Issue number	3
DOIs	https://doi.org/10.3390/gastroent13030022
State	Published - Sep 2022
Externally published	Yes

Keywords

artificial intelligence
eosinophilic esophagitis
machine learning

ASJC Scopus subject areas

Hepatology
Gastroenterology

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10.3390/gastroent13030022

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title = "Applications of Artificial Intelligence to Eosinophilic Esophagitis",

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.",

keywords = "artificial intelligence, eosinophilic esophagitis, machine learning",

author = "Smith, {Eric Reuben} and Jay Shah",

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year = "2022",

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doi = "10.3390/gastroent13030022",

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AU - Smith, Eric Reuben

AU - Shah, Jay

PY - 2022/9

Y1 - 2022/9

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - eosinophilic esophagitis

KW - machine learning

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JO - Gastroenterology Insights

JF - Gastroenterology Insights

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ER -

Applications of Artificial Intelligence to Eosinophilic Esophagitis

Abstract

Keywords

ASJC Scopus subject areas

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