From Pixels to Peristalsis: Comparing Achalasia Diagnosis With Artificial Intelligence With Expert Endoscopists.

ABSTRACT:

Background & aims

Esophageal motility disorders, such as achalasia, require the use of multiple tests to establish a diagnosis. Patients are first assessed with upper endoscopy, but subtle disease indicators are often overlooked during the procedure leading to delayed diagnosis. Artificial intelligence has the potential to prevent these misdiagnoses and serve as an early screening tool to enhance the physician's decision-making.

Methods

We developed a video-based transformer model capable of detecting achalasia from upper endoscopy videos. Videos were collected from 1203 patients who presented with dysphagia between August 2018 and January 2024. The model performance was compared with a baseline of 2 expert physicians independently reviewing each video and consulting one ano

SUBMITTER: Kaklamanos E 

PROVIDER: S-EPMC12836480 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature