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To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population. The correlation of fecal occult blood test (FIT or FOBT) and the advantage of AI-assisted colonoscopy has not been investigated. There is also a lack of information of the benefit of AI-assisted colonoscopy in experienced colonoscopist versus trainee/resident.
There are several studies showing that AI-assisted colonoscopy can help in identifying and characterizing polyps found on colonoscopy.
To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population. The correlation of fecal occult blood test (FIT or FOBT) and the advantage of AI-assisted colonoscopy has not been investigated. There is also a lack of information of the benefit of AI-assisted colonoscopy in experienced colonoscopist versus trainee/resident.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| AI-assisted Group | Active Comparator |
| |
| Standard | Active Comparator |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-assisted Colonoscopy | Procedure | This is a multi-center prospective randomized controlled study comparing real-time AI-assisted colonoscopy versus standard colonoscopy in a real-life setting. |
| Measure | Description | Time Frame |
|---|---|---|
| Per-patient ADR in each group | For the AI-Assisted group, it is defined as the number of patients with at least 1 adenoma identified in the colon divided by the total number of patients in the AI-Assisted group. | 12 months |
| Per-patient ADR in each group | For the Standard group, it is defined as the number of patients with at least 1 adenoma identified in the colon divided by the total number of patients in the Standard group. | 12 months |
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Inclusion Criteria
Exclusion Criteria
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Andrew Ming Yeung HO | Contact | 26371398 | andrewho@cuhk.edu.hk | |
| Thomas Yuen Tung LAM | Contact | 26370355 | thomaslam@cuhk.edu.hk |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Prince of Wales Hospital | Recruiting | Hong Kong | Hong Kong |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35863686 | Derived | Xu H, Tang RSY, Lam TYT, Zhao G, Lau JYW, Liu Y, Wu Q, Rong L, Xu W, Li X, Wong SH, Cai S, Wang J, Liu G, Ma T, Liang X, Mak JWY, Xu H, Yuan P, Cao T, Li F, Ye Z, Shutian Z, Sung JJY. Artificial Intelligence-Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial. Clin Gastroenterol Hepatol. 2023 Feb;21(2):337-346.e3. doi: 10.1016/j.cgh.2022.07.006. Epub 2022 Jul 19. |
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| Standard Colonoscopy | Procedure | Standard Colonoscopy |
|