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Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using pCLE With AI

Artificial Intelligence Clinical Trial

Official title:
Automatic Diagnosis of Early Esophageal Squamous Neoplasia Using Probe-based Confocal Laser Endomicroscopy With Artificial Intelligence

Clinical Trial Summary

Detection and differentiation of esophageal squamous neoplasia (ESN) are of value in improving patient outcomes. Probe-based confocal laser endomicroscopy (pCLE) can diagnose ESN accurately.However this requires much experience, which limits the application of pCLE. The investigators designed a computer-aided diagnosis program using deep neural network to make diagnosis automatically in pCLE examination and contrast its performance with endoscopists.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04136236
Study type Observational
Source Shandong University
Contact Yanqing Li
Phone 053182169385
Email liyanqing@sdu.edu.cn
Status Recruiting
Phase
Start date August 1, 2019
Completion date December 1, 2019
View Details
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