Development and Validation of a Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Gastrointestinal Disease
- Sponsor
- Shandong University
- Enrollment
- 100000
- Locations
- 1
- Primary Endpoint
- The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm.
- Last Updated
- 6 years ago
Overview
Brief 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.
Detailed Description
Recently, deep learning algorithm based on central neural networks (CNN) has shown multiple potential in computer-aided detection and computer-aided diagnose of gastrointestinal lesions. However, there is still a blank in recognition of all gastrointestinal diseases. This study aim 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.
Investigators
Xiuli Zuo
director of Qilu Hospital gastroenterology department
Shandong University
Eligibility Criteria
Inclusion Criteria
- •Participants, aged 18 years or older, who had not had a previous endoscopy were retrieved from all participating hospitals.
Exclusion Criteria
- Not provided
Outcomes
Primary Outcomes
The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm.
Time Frame: 1 month
The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm.
Secondary Outcomes
- 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.(1month)