AI-assisted Endoscopy Report System In Improving Reporting Quality
NCT ID: NCT05479253
Last Updated: 2022-08-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
NA
10 participants
INTERVENTIONAL
2021-11-01
2022-12-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
CROSSOVER
DEVICE_FEASIBILITY
NONE
Study Groups
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with Artificial intelligence assistant system
Endoscopists would complete the endoscopy report with the assistance of the artificial intelligence system.
Artificial intelligence assistant system
The artificial intelligence assistant system can automatically capture images, prompt abnormal lesions and the parts covered by the examination (the stomach is divided into 26 parts).
without Artificial intelligence assistant system
Endoscopists would complete the endoscopy report without special prompts.
No interventions assigned to this group
Interventions
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Artificial intelligence assistant system
The artificial intelligence assistant system can automatically capture images, prompt abnormal lesions and the parts covered by the examination (the stomach is divided into 26 parts).
Eligibility Criteria
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Inclusion Criteria
2. After qualified medical education and obtained the Certificate of Chinese medical practitioner;
Exclusion Criteria
2. The researcher believes that the subjects are not suitable for participating in clinical trials.
18 Years
70 Years
ALL
Yes
Sponsors
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Renmin Hospital of Wuhan University
OTHER
Responsible Party
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Locations
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Renmin Hospital of Wuhan University
Wuhan, , China
Countries
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Central Contacts
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Facility Contacts
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References
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Zhang L, Lu Z, Yao L, Dong Z, Zhou W, He C, Luo R, Zhang M, Wang J, Li Y, Deng Y, Zhang C, Li X, Shang R, Xu M, Wang J, Zhao Y, Wu L, Yu H. Effect of a deep learning-based automatic upper GI endoscopic reporting system: a randomized crossover study (with video). Gastrointest Endosc. 2023 Aug;98(2):181-190.e10. doi: 10.1016/j.gie.2023.02.025. Epub 2023 Feb 25.
Other Identifiers
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EA-21-010
Identifier Type: -
Identifier Source: org_study_id
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