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Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases Depending on Tongue Images

NCT04811599 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2021-03-23

No results posted yet for this study

Summary

The purpose of this study is to analysize the relationship between the characteristics of tongue image and the diagnosis of gastrointestinal diseases , then develop and validate a deep learning algorithm for the diagnosis of gastrointestinal diseases depending on tongue images, so as to improve the objectiveness and intelligence of tongue diagnosis. At the same time, gastrointestinal flora of common tongue images were analyzed in order to provide a microecological basis for understanding the relationship between tongue images and digestive tract diseases.

Conditions

  • Gastrointestinal Disease

Sponsors & Collaborators

  • Shandong University

    lead OTHER

Principal Investigators

  • Xiuli Zuo, MD,PhD · Study Principal investigator

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-03-21
Primary Completion
2022-06-01
Completion
2022-06-01

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 NCT04811599 on ClinicalTrials.gov