small bowel disease
Conditions
Interventions
Experimental group:With the assistance of artificial intelligence system reading mode 1, the images in the capsule data set were screened
control group:With the assistance of artificial intelligence system reading mode 2,the images in the capsule data set were screened
Sponsors
Department of Gastroenterology, Zhujiang Hospital, Southern Medical University
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1) Digestive tract image data files collected by capsule endoscope system of Anhan Technology (Wuhan) Co., LTD.; 2) Complete small intestine image data; 3) Volunteer to participate in this clinical trial.
Exclusion criteria
Exclusion criteria: 1) The intestinal image quality is poor, the intestinal mucosa is unclear, and the normal structure cannot be distinguished; 2) The capsule did not pass through the ileocecal valve; 3) The subject information can not be traced; 4) Situations where participation in clinical trials is not considered appropriate by other investigators.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Lesion recognition accuracy; | — |
Secondary
| Measure | Time frame |
|---|---|
| Detection rate of lesion images;Anatomic location recognition accuracy;Reading time;Lesion missed detection rate; | — |
Countries
China
Contacts
Public ContactWang Xinying
Department of Gastroenterology, Zhujiang Hospital, Southern Medical University
Outcome results
None listed