An interventional study of AI for the Diagnosis of Gastrointestinal Diseases in Gastrointestinal Disease, sponsored by Shandong University. Status unknown at 1 site in China. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2020-02-18.
Sponsored by Shandong University · Not applicable, Interventional, and Diagnostic
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.
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.
629 studies on the registry are indexed under Gastrointestinal Diseases; 128 are open to participants now.
This study's planned enrollment of 100,000 is above the median of 76 across 423 interventional studies indexed under Gastrointestinal Diseases.
Browse Gastrointestinal Diseases studies →Shandong University is the lead sponsor of 284 studies on the registry; 59 are open to participants now.
Counted across the registry records on this site, refreshed daily.
Exclusion Criteria:
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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.
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.
The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm.
The diagnostic accuracy of gastrointestinal diseases with deep learning algorithm.
Time frame: 1 month
The diagnostic sensitivity of gastrointestinal diseases with deep learning algorithm.
The diagnostic sensitivity of gastrointestinal diseases with deep learning algorithm.
Time frame: 1 month
The diagnostic specificity of gastrointestinal diseases with deep learning algorithm.
The diagnostic specificity of gastrointestinal diseases with deep learning algorithm.
Time frame: 1 month
The diagnostic positive predictive value of gastrointestinal diseases with deep learning algorithm.
The diagnostic specificity of gastrointestinal diseases with deep learning algorithm.
Time frame: 1 month
The diagnostic negative predictive value of gastrointestinal diseases with deep learning algorithm.
The diagnostic specificity of gastrointestinal diseases with deep learning algorithm.
Time frame: 1month
This study is status unknown, as verified in Feb 2020. You cannot join it, but the record below documents what was studied.
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Shandong University