Last reviewed · How we verify
NCT06059378: AI-OD
Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps
NA trial testing Artificial intelligence-assisted classification (CADx) in Artificial Intelligence in 204 participants. Currently enrolling.
1 May 2025
Quick facts
| Lead sponsor | Daniel Von Renteln |
|---|---|
| Phase | NA |
| Status | Recruiting now |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 204 |
| Start date | 1 September 2023 |
| Primary completion | 1 May 2025 |
| Estimated completion | 30 June 2025 |
| Sites | 1 location across Canada |
Drugs / interventions tested
- Artificial intelligence-assisted classification (CADx)
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
Sponsor
Daniel Von Renteln
Who can join
Adults 45 to 80, any sex, with Artificial Intelligence. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
This is a prospective study that is the first to implement resect and discard and diagnose and leave strategies in real-time practice using stringent documentation and adjudication by 2 expert endoscopists as the gold standard. The primary aim of this study is to show the accuracy of intracolonoscopy AI-assisted optical diagnosis (CADx; autonomous or with human input) when the AI-assisted optical diagnosis made by the expert endoscopists is used as the reference standard. The specific aims are: 1. To evaluate the accuracy of intracolonoscopy AI-assisted optical polyp diagnosis (autonomous or with human input) by comparing it to the obtained optical histology diagnoses provided by two independent expert endoscopists as the reference standard. 2. To evaluate the agreement between the intracolonoscopy AI-assisted optical polyp diagnosis (autonomous or with human input) and the AI-assisted optical diagnosis performed by two independent expert endoscopists. 3. To determine whether AI-assisted optical polyp diagnosis for diminutive (1-5 mm) polyps can be implemented in routine clinical practice by demonstrating that at least 70% of the approached patients are interested in undergoing AI-assisted optical diagnosis (autonomous or with human input). 4. To evaluate the cost savings resulting from replacing pathology with AI-assisted optical diagnosis.
Publications & conference data
1 peer-reviewed publication reference this trial (live from Europe PMC):
Verify or expand the search:
- PubMed search for NCT06059378
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Artificial Intelligence
Currently open trials in the same condition.
- NCT07257796 — Artificial Intelligence in Assessing Gastric Intestinal Metaplasia Via the EGGIM Score · recruiting
- NCT07308561 — The Relationship Between Quality of Life, Anxiety Levels, and Attitudes Toward Artificial Intelligence Among Women Under · recruiting
- NCT07261618 — AI-Assisted 2D Fetal Brain Ultrasound for Intracranial Anomaly Detection · active not recruiting
- NCT07098884 — Artificial Intelligence for Pathology Diagnosis and Prognosis Prediction of Lung Nodule Using Smartphone Photos · recruiting
- NCT06978348 — Research on Early Prediction Model of Ischemic Cerebrovascular Disease Based on Artificial Intelligence Technology. · recruiting
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 NCT06059378 (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 Daniel Von Renteln
- Last refreshed: 19 February 2025
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/NCT06059378.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing