Last reviewed · How we verify
NCT06617468
Effect of the Computer Aided Diagnosis with Explainable Artificial Intelligence for Colon Polyp on Optical Diagnosis and Acceptance of Technology
NA trial testing computer-aided diagnosis with explainable AI in Colon Polyp in 120 participants. Participants enrolled and being followed up; not accepting new ones.
31 December 2024
Quick facts
| Lead sponsor | Seoul National University Hospital |
|---|---|
| Phase | NA |
| Status | Active, enrolled |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 120 |
| Start date | 20 September 2024 |
| Primary completion | 31 December 2024 |
| Estimated completion | 31 December 2024 |
| Sites | 1 location across South Korea |
Drugs / interventions tested
- computer-aided diagnosis with explainable AI
- computer-aided diagnosis with deep learning
Conditions studied
- Colon Polyp — all drugs for Colon Polyp →
Sponsor
Seoul National University Hospital
Who can join
Eligibility, any sex, with Colon Polyp. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The goal of this clinical trial is to learn if computer-aided diagnosis with deep learning and computer-aided diagnosis with explainable AI work to optical diagnosis performance and acceptance of technology in endoscopists. The main questions it aims to answer are: Do computer-aided diagnosis with deep learning and computer-aided diagnosis with explainable AI improve optical diagnosis performance in endoscopists? Does experience using deep learning-based computer-assisted diagnosis and explainable AI-based computer-assisted diagnosis improve endoscopists' acceptance of computer-aided diagnosis as a technology? Participants will: Conduct a survey on acceptance and use of technology about computer-aided diagnosis. Perform a test to estimate the pathologic diagnosis on 200 NBI still images without the aid of computer-aided diagnosis. More than 1 month later, perform a same test to estimate the pathologic diagnosis on 200 NBI still images with computer-aided diagnosis with deep learning or explainable AI. Conduct a survey on acceptance and use of technology about computer-aided diagnosis.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT06617468
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Colon Polyp
Currently open trials in the same condition.
- NCT06496958 — Water Exchange and CO2 Insufflation With Abdominal Compression Device to Reduce Manual Assistance · NA · recruiting
- NCT06073561 — Underwater Endoscopic Mucosal Resection · NA · recruiting
- NCT05990218 — Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience · NA · recruiting
- NCT05551052 — CRC Detection Reliable Assessment With Blood · active not recruiting
- NCT05402696 — St. Paul's Advanced Resection Center Cohort for Colorectal Neoplasia (SPARC-C) · recruiting
Other Seoul National University Hospital trials
Trials by the same sponsor.
- NCT07262944 — EOI Block in Otoplasty With Rib Cartilage Graft · NA · recruiting
- NCT07464210 — Nemtabrutinib, Bortezomib, and Rituximab for WM · Phase 2 · not yet recruiting
- NCT07550803 — Effect of Intraoperative Dexamethasone on Early Postoperative Sleep Quality in Patients Undergoing Nasal Surgery · NA · not yet recruiting
- NCT07522138 — Home-based Self-exercise in Patients With Parkinson's Disease: A Feasibility Study · NA · not yet recruiting
- NCT07476651 — Scout Dose of Resin Microspheres · NA · 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 NCT06617468 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Seoul National University Hospital
- Last refreshed: 4 October 2024
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/NCT06617468.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing