Tu1963 AUTOMATED DIAGNOSIS OF EOSINOPHILIC ESOPHAGITIS FROM LARGE IMAGES OBTAINED BY SPECTRALLY-ENCODED TETHERED CAPSULE REFLECTANCE ENDOMICROSCOPY

Ryu, Ji Heon; Kang, Dongkyun; Do, Dukho; Osman, Hany; Grant, Catriona N.; Giddings, Sarah; Baillargeon, Aaron; Gao, Anna H.; Rosenberg, Mireille; Hesterberg, Paul E.; Yuan, Qian; Garber, John J.; Katz, Aubrey J.; Tearney, Guillermo J.

doi:10.1016/j.gie.2019.03.1107

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2022

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“…The capsule is swallowed without sedation and pulled out with an attached string. The process generates many images which can be time consuming to analyze manually, and researchers designed a CNN to look for >15 eosinophils per approximated HPF [27]. The diagnosis of EoE was 86% accurate, comparable to other endoscopic diagnostics.…”

Section: Endoscopic Imagingmentioning

confidence: 99%

Applications of Artificial Intelligence to Eosinophilic Esophagitis

Smith

Shah

2022

Gastroenterology Insights

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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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Section: Endoscopic Imagingmentioning

confidence: 99%