Track this trial free. DataLookout checks ClinicalTrials.gov daily and emails you which fields changed on NCT06617468 (status, enrollment, completion dates, endpoints, sites) when this record is updated. Free accounts track up to 5 trials.

Track this trial

Effect of the Computer Aided Diagnosis with Explainable Artificial Intelligence for Colon Polyp on Optical Diagnosis and Acceptance of Technology

StatusUnknown
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated October 4, 2024 (before its estimated December 31, 2024 completion). Its status may not reflect the trial's current state.

Record History

  1. Changed Registry marked status Unknown (sponsor has not verified the record since Sep 2024); last known: Active, Not Recruiting
  2. Re-verified, no change to tracked fieldsv2
  3. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT06617468
Lead Sponsor Seoul National University Hospital
Conditions Colon Polyp
Enrollment 120 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov