Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases
Gastrointestinal Disease
About this trial
This is an interventional diagnostic trial for Gastrointestinal Disease focused on measuring Deep Learning, Central Neural Networks, Endoscopy, Gastrointestinal Disease
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:
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Sites / Locations
- Qilu Hospital, Shandong UniversityRecruiting
Arms of the Study
Arm 1
Experimental
AI monitoring gastrointestinal endoscopy
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.