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

NCT04811599 | Unknown DMC

• 1 other identifier: 2020-SDU-QILU-G056
• Study Type: observational
• Target: 2,000
• Locations: 1 country
• Sites: 1

Brief 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

Keywords

Gastrointestinal Disease; tongue image; artificial intelligence; deep learning; gastrointestinal flora

Outcome Measures

Primary Outcomes (1)

• The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm

  The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm.

  1 month

Secondary Outcomes (4)

• The diagnostic sensitivity of gastrointestinal diseases with deep learning algorithm

  1 month

• The diagnostic specificity of gastrointestinal diseases with deep learning algorithm

  1 month

• The diagnostic positive predictive value of gastrointestinal diseases with deep learning algorithm

  1 month

• The diagnostic negative predictive value of gastrointestinal diseases with deep learning algorithm

  1 month

Study Arms (1)

deep learning algorithm group

Before patients going through colonoscopy or gastroscopy ,taking them tongue images and collecting basic information by mobile phone with Anymed.After examination,endoscopic report and histology analysis is collected .Categorizing the images by gastrointestinal diseases，developing and validating a deep learning algorithm for the diagnosis of digestive tract diseases depending on tongue images.Extracting tougue coating,gastric mucosa and stool DNA by high-throughput sequencing,and analyzing their composation,adundance and diversity.

Eligibility Criteria

• Age: 18 Years - 80 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Patients aged 18 - 80 years undergoing endoscopic examination

You may qualify if:

• Patients aged 18 - 80 years undergoing endoscopic examination;patients gave informed consent and signed informed consent.

Sponsors & Collaborators

• Shandong University: lead

Study Sites (1)

Qilu Hospital, Shandong University

Jinan, Shandong, 250012, China

Location

Biospecimen

Retention: SAMPLES WITH DNA

tougue coating,gastric mucosa and stool sample

MeSH Terms

Conditions

Gastrointestinal Diseases

Condition Hierarchy (Ancestors)

Digestive System Diseases

Study Officials

• Xiuli Zuo, MD,PhD

  Study Principal investigator

  STUDY CHAIR

Study Design

• Study Type: observational
• Observational Model: OTHER
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Director of Qilu Hospital gastroenterology department

Study Record Dates

• First Submitted: March 20, 2021
• First Posted: March 23, 2021
• Study Start: March 21, 2021
• Primary Completion: June 1, 2022
• Study Completion: June 1, 2022
• Last Updated: March 23, 2021

Record last verified: 2021-03

Locations

CN (1)