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Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases

NCT04222439 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100000

Last updated 2020-02-18

No results posted yet for this study

Summary

The purpose of this study is to develop and validate a deep learning algorithm for the diagnosis of gastrointestinal diseases. Then, evaluate the accuracy this new artificial intelligence(AI) assisted recognition system in clinic practice.

Conditions

  • Gastrointestinal Disease

Interventions

DEVICE

AI for the Diagnosis of Gastrointestinal Diseases

After receiving standard preparation regimen, patients go through colonoscopy or gastroscopy under the AI monitoring device. The whole procedure is monitored by AI associated recognition system. Gastrointestinal diseases will be detect and diagnosis in which the AI device will automatically captured relevant images and report the site of each segment on the screen. Histology analysis is set as a golden standard. Then all the AI captured images will be reviewed by human group, which consists of three to five experienced endoscopic physicians.

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Xiuli Zuo, MD,PhD · Qilu Hospital of Shandong University

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-01-01
Primary Completion
2020-02-29
Completion
2020-02-29

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04222439 on ClinicalTrials.gov