Last reviewed · How we verify
NCT04335318: RELIANT
Real Life AI in Polyp Detection
NA trial testing AI-assisted colonoscopy in Colonic Polyp in 230 participants. Completed in 1 October 2020.
31 August 2020
Quick facts
| Lead sponsor | Wuerzburg University Hospital |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 230 |
| Start date | 1 May 2020 |
| Primary completion | 31 August 2020 |
| Estimated completion | 1 October 2020 |
| Sites | 1 location across Germany |
Drugs / interventions tested
- AI-assisted colonoscopy
Conditions studied
- Colonic Polyp — all drugs for Colonic Polyp →
Sponsor
Wuerzburg University Hospital
Who can join
18 and older, any sex, with Colonic Polyp. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The objective of this study is to compare the polyp detection rate (PDR) of endoscopists unaware of a commercially available artificial intelligence (AI) device for polyp detection during colonoscopy and the PDR of endoscopists with the aid of such a device. Moreover, an extensive characterization of the performance of this device will be done.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
<b>UEG</b> Week 2020 Poster Presentations.
· 2020 · cited 5× · PMID 33043826 · DOI 10.1177/2050640620927345 -
UEG Week 2021 Poster Presentations
· 2021
Verify or expand the search:
- PubMed search for NCT04335318
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other trials of AI-assisted colonoscopy
Trials testing the same drug.
- NCT05941689 — Efficacy of Artificial Intelligence-assisted Colonic Polyp Detection System · NA · completed
- NCT05740137 — Adenoma Detection Rate in Artificial Intelligence-assisted Colonoscopy · NA · completed
- NCT05754229 — Accuracy of Real Time Characterization in Artificial Intelligence-assisted Colonoscopy · NA · unknown
Other recruiting trials for Colonic Polyp
Currently open trials in the same condition.
- NCT06550908 — Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images · NA · recruiting
- NCT07456111 — A Comparison of Remimazolam Besylate and Propofol Sedation in Patients Undergoing Colonoscopic Polypectomy · Phase 4 · recruiting
- NCT06483503 — Extra Wide Field of View Lens Study · active not recruiting
- NCT06077435 — Comparative Analysis of AI Software for Enhanced Polyp Detection and Diagnosis · NA · recruiting
Other Wuerzburg University Hospital trials
Trials by the same sponsor.
- NCT07084480 — Giant Cell Arteritis - Ways to Precision Medicine · recruiting
- NCT07040189 — Gustabor Phase 1 - AI-based Creation of a Nutritional Plan to Compensate for Chemotherapy-induced Taste Disorders · NA · not yet recruiting
- NCT06550908 — Training Physicians to Differentiate the Paris Classification Using Artificial Colon Polyp Images · NA · recruiting
- NCT07108569 — Ability of Physicians to Distinguish Real From Artificial Colon Polyp Images · NA · completed
- NCT06553326 — EndoStyle: Artificial Intelligence Image Transformation Tool for Colonoscopy · completed
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 NCT04335318 (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 Wuerzburg University Hospital
- Last refreshed: 8 April 2021
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/NCT04335318.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing