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NCT04586556
Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps
NA trial testing Polyps detection by Artificial Intelligence in Adenomatous Polyps in 372 participants. Completed in 11 May 2022.
31 March 2022
Quick facts
| Lead sponsor | Centre hospitalier de l'Université de Montréal (CHUM) |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | na |
| Design | single group |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 372 |
| Start date | 18 December 2020 |
| Primary completion | 31 March 2022 |
| Estimated completion | 11 May 2022 |
| Sites | 3 locations across France, Canada |
Drugs / interventions tested
- Polyps detection by Artificial Intelligence
Conditions studied
- Adenomatous Polyps — all drugs for Adenomatous Polyps →
Sponsor
Centre hospitalier de l'Université de Montréal (CHUM)
Who can join
Adults 45 to 80, any sex, with Adenomatous Polyps. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The investigators hypothesize that the clinical implementation of a deep learning AI system is an optimal tool to monitor, audit and improve the detection and classification of polyps and other anatomical landmarks during colonoscopy. The objectives of this study are to generate preliminary data to evaluate the effectiveness of AI-assisted colonoscopy on: a) the rate of detection of adenomas; b) the automatic detection of the anatomical landmarks (i.e., ileocecal valve and appendiceal orifice).
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
-
Automated Detection of Anatomical Landmarks During Colonoscopy Using a Deep Learning Model.
Taghiakbari M, Hamidi Ghalehjegh S, Jehanno E, Berthier T, et al · · 2023 · cited 4× · PMID 37538187 · DOI 10.1093/jcag/gwad017
Verify or expand the search:
- PubMed search for NCT04586556
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04586556 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Centre hospitalier de l'Université de Montréal (CHUM)
- Last refreshed: 25 November 2022
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04586556.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing