Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection.

ABSTRACT:

Objectives

Striking histopathological overlap between distinct but related conditions poses a disease diagnostic challenge. There is a major clinical need to develop computational methods enabling clinicians to translate heterogeneous biomedical images into accurate and quantitative diagnostics. This need is particularly salient with small bowel enteropathies; environmental enteropathy (EE) and celiac disease (CD). We built upon our preliminary analysis by developing an artificial intelligence (AI)-based image analysis platform utilizing deep learning convolutional neural networks (CNNs) for these enteropathies.

Methods

Data for the secondary analysis was obtained from three primary studies at different sites. The image analysis platform for EE and CD was developed using CNN

SUBMITTER: Syed S 

PROVIDER: S-EPMC8767179 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature