人工智能在嗜酸性食管炎中的应用

IF 1.5 Q3 GASTROENTEROLOGY & HEPATOLOGY

Gastroenterology Insights Pub Date : 2022-07-08 DOI:10.3390/gastroent13030022

E. Smith, J. Shah

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引用次数: 1

摘要

嗜酸性粒细胞性食管炎(EoE)是一种慢性免疫相关炎症，其诊断和治疗评价一直存在挑战。本文献综述评估了人工智能在EOE中的所有应用，包括15项使用人工智能算法计算活组织检查中嗜酸性粒细胞的研究，以及使用活组织检查中mRNA转录物、内窥镜照片、血液和尿液生物标志物的新诊断，以及一种改进的疾病分类评分系统。我们还讨论了这些模型的临床影响、将人工智能应用于EoE所面临的挑战以及未来的应用。总之，人工智能有可能改善EoE的诊断和临床评估，改善患者的预后。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Applications of Artificial Intelligence to Eosinophilic Esophagitis

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.

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来源期刊

Gastroenterology Insights GASTROENTEROLOGY & HEPATOLOGY-

CiteScore

2.80

自引率

3.40%

发文量

审稿时长

10 weeks