A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence
NCT ID: NCT04216901
Last Updated: 2020-10-20
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
70 participants
OBSERVATIONAL
2019-12-24
2021-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Interventions
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Endoscopists refer to AI for diagnosis
The AI will provide a pathological prediction of the lesion during colonoscopy.
Eligibility Criteria
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Inclusion Criteria
2. colonoscopy and related examinations should be performed to further clarify the characteristics of digestive tract diseases;
3. be able to read, understand and sign the informed consent;
4. the researcher believes that the subject can understand the process of the clinical study, is willing and able to complete all the study procedures and follow-up visits, and cooperate with the study procedures;
5. patients with \> 1cm lesion detected by colonoscopy, requiring magnification staining or surgical resection.
Exclusion Criteria
2. drug or alcohol abuse or psychological disorder in the last 5 years;
3. pregnant or nursing women;
4. subjects with previous history of intestinal surgery;
5. the researcher considers that the subject is not suitable for colonoscopy and related examination;
6. high-risk diseases or other special conditions that the investigator considers inappropriate for the subject to participate in the clinical trial.
18 Years
ALL
No
Sponsors
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Renmin Hospital of Wuhan University
OTHER
Responsible Party
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Principal Investigators
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Yu Honggang, MD
Role: PRINCIPAL_INVESTIGATOR
Wuhan University Renmin Hospital
Locations
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Renmin Hospital of Wuhan University
Wuhan, Hubei, China
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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EA-19-003
Identifier Type: -
Identifier Source: org_study_id
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