Ulcerative Colitis Mayo Score With Artificial Intelligence
NCT ID: NCT05336773
Last Updated: 2022-04-20
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
500 participants
OBSERVATIONAL
2022-04-30
2023-06-30
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
2. Clinical diagnosis of ulcerative colitis;
3. The subjects underwent colonoscopy and the colonoscopy report was complete.
Exclusion Criteria
2. Subjects underwent colectomy, ileostomy, colostomy, ileostomy, or other intestinal resection;
3. subjects with ambiguous diagnosis.
18 Years
72 Years
ALL
Yes
Sponsors
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Third Military Medical University
OTHER
Responsible Party
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Yanling Wei
Associate chief physician, M D.
Principal Investigators
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Yanling Wei, Professor
Role: STUDY_DIRECTOR
Third Military Medical University
Locations
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Third Military Medical University
Chongqing, Chongqing Municipality, China
Countries
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Central Contacts
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Facility Contacts
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References
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Qi J, Ruan G, Ping Y, Xiao Z, Liu K, Cheng Y, Liu R, Zhang B, Zhi M, Chen J, Xiao F, Zhao T, Li J, Zhang Z, Zou Y, Cao Q, Nian Y, Wei Y. Development and validation of a deep learning-based approach to predict the Mayo endoscopic score of ulcerative colitis. Therap Adv Gastroenterol. 2023 May 22;16:17562848231170945. doi: 10.1177/17562848231170945. eCollection 2023.
Other Identifiers
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TMMU-DP--002
Identifier Type: -
Identifier Source: org_study_id
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