Clinical trial · Interventional
Effect of Two Colonoscopy AI Systems for Colon Polyp Detection
Effect of Two Colonoscopy AI Systems for Colon Polyp Detection According to the False Positive Rates of the Systems: A Single-center Prospective Study
NCT05089071CI-TRIAL-00068288completedN/AClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Computer-aided detection (CADe) systems have been actively researched for polyp detection in colonoscopy. The investigators aim to identify the effect of two CADe systems according to the system performance on false positive rate
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Adenoma | Adenoma | ONTOLOGY_EXACT | 0.98 |
| Colonoscopy | — | UNRESOLVED | — |
| Sessile Serrated Adenoma | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Assist by artificial intelligence system for colon polyp detection | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- type
- EXPERIMENTAL
- label
- CADe group
- description
- Endoscopists perform colonoscopy with CADe system
- interventionNames
- Device: Assist by artificial intelligence system for colon polyp detection
- type
- NO_INTERVENTION
- label
- Control
- description
- Endoscopists perform colonoscopy without CADe system
Primary outcomes (2)
- measure
- Adenoma detection rate
- timeFrame
- 12 months
- description
- proportion of colonoscopies with at least one adenoma detected overall and as detected by the physician.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 45 Years
- Maximum age
- 100 Years
Show eligibility criteria text
Inclusion Criteria: patient for screening or surveillance colonoscopy patients agreed with participating in the study Exclusion Criteria: patients who do not agree with participating in the study patients with a history of colon resection patients with a history of inflammatory bowel resection patients with poor bowel preparation
References
Publications (1)
- BACKGROUNDHassan C, Spadaccini M, Iannone A, Maselli R, Jovani M, Chandrasekar VT, Antonelli G, Yu H, Areia M, Dinis-Ribeiro M, Bhandari P, Sharma P, Rex DK, Rosch T, Wallace M, Repici A. Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis. Gastrointest Endosc. 2021 Jan;93(1):77-85.e6. doi: 10.1016/j.gie.2020.06.059. Epub 2020 Jun 26. PMID 32598963