Building a trustworthy AI differential diagnosis application for Crohn's disease and intestinal tuberculosis.

ABSTRACT:

Background

Differentiating between Crohn's disease (CD) and intestinal tuberculosis (ITB) with endoscopy is challenging. We aim to perform more accurate endoscopic diagnosis between CD and ITB by building a trustworthy AI differential diagnosis application.

Methods

A total of 1271 electronic health record (EHR) patients who had undergone colonoscopies at Peking Union Medical College Hospital (PUMCH) and were clinically diagnosed with CD (n = 875) or ITB (n = 396) were used in this study. We build a workflow to make diagnoses with EHRs and mine differential diagnosis features; this involves finetuning the pretrained language models, distilling them into a light and efficient TextCNN model, interpreting the neural network and selecting differential attribution features, and th

SUBMITTER: Lu K 

PROVIDER: S-EPMC10426047 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature