Effect of the Computer Aided Diagnosis with Explainable Artificial Intelligence for Colon Polyp on Optical Diagnosis and Acceptance of Technology
NCT06617468 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 120
Last updated 2024-10-04
Summary
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.
Conditions
- Colon Polyp
Interventions
- DIAGNOSTIC_TEST
-
computer-aided diagnosis with explainable AI
Perform a same test to estimate the pathologic diagnosis on 200 NBI still images with computer-aided diagnosis with explainable AI.
- DIAGNOSTIC_TEST
-
computer-aided diagnosis with deep learning
Perform a same test to estimate the pathologic diagnosis on 200 NBI still images with computer-aided diagnosis with deep Iearning.
Sponsors & Collaborators
-
Seoul National University Hospital
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-09-20
- Primary Completion
- 2024-12-31
- Completion
- 2024-12-31
Countries
- South Korea
Study Locations
More Related Trials
-
Clinical vAliDation of ARTificial Intelligence in POlyp Detection
NCT04442607 ·Status: COMPLETED ·Phase: NA
-
Detection of Colonic Polyps Via a Large Scale Artificial Intelligence (AI) System
NCT04693078 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence Identifying Polyps in Real-world Colonoscopy
NCT03761771 ·Status: COMPLETED
-
Computer-aided Detection for Colonoscopy
NCT03842059 ·Status: UNKNOWN ·Phase: NA
-
Clinical Validation of Polydeep: an Artificial Intelligence-based Computer-aided Polyp Detection (CADe) and Characterization (CADx) System
NCT05514301 ·Status: COMPLETED ·Phase: NA
-
Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps
NCT06059378 ·Status: RECRUITING ·Phase: NA
-
Real-World Validation of an Artificial Intelligence Characterization Support (CADx) System
NCT05034185 ·Status: COMPLETED
-
Impact of Artificial Intelligence on Trainee Polyp Miss Rates
NCT06676930 ·Status: RECRUITING ·Phase: NA
-
A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence
NCT04216901 ·Status: UNKNOWN
-
Clinical Validation of PolyDeep: an Artificial Intelligence-based Computer-aided Polyp Detection (CADe) and Characterization (CADx) System. Polydeep Advance 2.
NCT05512793 ·Status: COMPLETED ·Phase: NA
-
The Impact of a Colonoscopy Monitoring Program on Endoscopists' Performance
NCT06577610 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
AI-assisted Detection of Missed Colonic Polyps
NCT04227795 ·Status: COMPLETED ·Phase: NA
-
Efficacy of Artificial Intelligence-assisted Colonic Polyp Detection System
NCT05941689 ·Status: COMPLETED ·Phase: NA
-
AI for Colorectal Polyp Detection in Endoscopy
NCT04339855 ·Status: UNKNOWN
-
Computer Aided Diagnosis of Colorectal Polyps
NCT04510545 ·Status: COMPLETED
-
Autonomous Artificial Intelligence Versus AI Assisted Human Optical Diagnosis
NCT06543862 ·Status: NOT_YET_RECRUITING ·Phase: NA
-
The Real-time Optical Diagnosis Value of Optical Enhancement Endoscopy in Colorectal Sessile Serrated Adenomas/Polyps
NCT03238573 ·Status: UNKNOWN
-
Artificial Intelligence in the Characterization of Colorectal Polyps
NCT04749277 ·Status: COMPLETED
-
Computer-aided Detection During Screening Colonoscopy
NCT05734820 ·Status: UNKNOWN ·Phase: NA
-
Real-Time Artificial Intelligence Assissted Colonoscopy to Identify and Classify Polyps
NCT05718193 ·Status: COMPLETED ·Phase: NA
-
Computer-aided Detection of Colorectal Polyps
NCT04359355 ·Status: UNKNOWN
-
Endocuff With or Without AI-assisted Colonoscopy
NCT05133544 ·Status: UNKNOWN ·Phase: NA
-
Computer Assisted Optical Assessment of Small Colorectal Polyps
NCT02522702 ·Status: UNKNOWN
-
Application Evaluation Research on the Artificial Intelligence-assisted Support System for the Diagnosis of Colorectal Tubular Adenoma Lesions
NCT07073430 ·Status: RECRUITING
-
Computer Aided Detection, Tandem Colonoscopy Study
NCT04074577 ·Status: COMPLETED ·Phase: NA