Performance Evaluation of CAD-EYE and SCALE-EYE for Detection, Classification, and Measurement of Colorectal Polyps: a Prospective Study
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- STATUS
- Recruiting
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- days left to enroll
- 20
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- participants needed
- 348
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- sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Summary
The investigators hypothesize that the clinical implementation of an AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps during colonoscopy. The purpose of this prospective clinical cohort study is to evaluate the performance of the SCALE-EYE virtual scale for measuring polyp size when used during live colonoscopies. The investigators also wish to evaluate CAD-eye for detection and classification of polyp histology. It is hypothesized that CAD-eye and SCALE-EYE can function in real-time practice with high accuracy.
Details
| Condition | Artificial Intelligence |
|---|---|
| Treatment | Detection and classification and size measurement of polyp by Artificial Intelligence (Cad eye) and the Scale Eye |
| Clinical Study Identifier | NCT05236790 |
| Sponsor | Centre hospitalier de l'Université de Montréal (CHUM) |
| Last Modified on | 4 October 2022 |
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