Intelligent-C Endoscopy Module for Real-time Detection of Colonic Lesions
NCT05784935 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 380
Last updated 2025-01-27
Summary
To conduct an single blinded, non-randomized, prospective, single center trial to validate the performance of a novel state-of-the-art Artificial Intelligence model (AI-Model) for colorectal lesion detection during routine diagnostic colonoscopy and to evaluate its feasibility in daily endoscopy. Consecutive patients referred for a screening, surveillance or diagnostic colonoscopy will be included
Conditions
- Artificial Intelligence
- Colonic Polyp
Interventions
- DEVICE
-
Real time AI detection model
Bowel preparation will be conducted according to usual local practices. During colonoscopy, the colonoscope will be first advanced to the cecum in all patients as confirmed by identification of the appendicular orifice and ileocecal valve or by intubation of the ileum, as per the standard of care by experienced endoscopists. During the insertion, no action will be taken. After cecal intubation is performed, the colonoscope will be slowly withdrawn to the splenic flexure by the primary endoscopists. Real time AI detection model will be activated with the output displayed in real time on a separate monitor and will be only viewed by an independent investigator, who is an experienced endoscopists (or a person trained in polyp recognition). The primary endoscopists will be blinded to the AI real time detection result
Sponsors & Collaborators
-
Asian Institute of Gastroenterology, India
lead OTHER
Principal Investigators
-
Hardik Rughwani, MD, DM · Asian Institute of Gastroenterology
Eligibility
- Min Age
- 19 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-03-20
- Primary Completion
- 2023-07-01
- Completion
- 2023-11-01
Countries
- India
Study Locations
More Related Trials
-
Comparison of Flat Colorectal Lesion Detection by Artificial Intelligence-assisted Colonoscopy Versus Endoscopists
NCT05942677 ·Status: UNKNOWN
-
The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
NCT05619614 ·Status: COMPLETED
-
Feasibility Study of a Novel Single Use Robotic Colonoscopy System
NCT03979690 ·Status: COMPLETED ·Phase: NA
-
Computer-aided Detection of Colorectal Polyps
NCT04359355 ·Status: UNKNOWN
-
Polyp Artificial Intelligence Study
NCT04425941 ·Status: COMPLETED
-
A Prospective Randomized Study Comparing the Adenoma Detection Yield of SC, AI and Combined AI and G-EYE®
NCT05317351 ·Status: UNKNOWN ·Phase: NA
-
Real-time Diagnosis of Diminutive Colorectal Polyps Using AI
NCT05349110 ·Status: UNKNOWN
-
Prospective Evalulation of Artificial Intelligence-assisted Monitoring of Effective Withdrawal Time Versus Standard Withdrawal Time on Adenoma Detected Per Colonoscopy
NCT06345105 ·Status: COMPLETED
-
Artificial Intelligence in the Detection of Right Sided Colonic Polyp in Different Operator Experience
NCT05990218 ·Status: RECRUITING ·Phase: NA
-
Real-time AI-assisted Endocyroscopy for the Diagnosis of Colorectal Lesions
NCT06791395 ·Status: COMPLETED
-
The AID Study 2: Artificial Intelligence for Colorectal Adenoma Detection 2
NCT04260321 ·Status: COMPLETED
-
Computer-aided Detection During Screening Colonoscopy
NCT05734820 ·Status: UNKNOWN ·Phase: NA
-
Artificial Intelligence Aid Systems and Endocuff in Colorectal Adenoma Detection
NCT05141773 ·Status: COMPLETED ·Phase: NA
-
Computer-aided Detection for Colonoscopy
NCT03842059 ·Status: UNKNOWN ·Phase: NA
-
AI-assisted Detection of Missed Colonic Polyps
NCT04227795 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence Identifying Polyps in Real-world Colonoscopy
NCT03761771 ·Status: COMPLETED
-
Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision
NCT05863208 ·Status: RECRUITING ·Phase: NA
-
Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps
NCT06059378 ·Status: RECRUITING ·Phase: NA
-
Artificial Intelligence Aid Systems in Colorectal Adenoma Detection
NCT04945044 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence to Implement Cost-saving Strategies for Colonoscopy Screening Based on in Vivo Prediction of Polyp Histology
NCT06041945 ·Status: RECRUITING ·Phase: NA
-
Effect of Two Colonoscopy AI Systems for Colon Polyp Detection
NCT05089071 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence-assisted Colonoscopy, Tandem Study
NCT07023471 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
NCT05244278 ·Status: RECRUITING ·Phase: NA
-
A Prospective Study to Evaluate the Performance of a Real-time System in the Estimation of Colorectal Polyp Size
NCT06957015 ·Status: RECRUITING ·Phase: NA
-
Artificial Intelligence Development for Colorectal Polyp Diagnosis
NCT06447012 ·Status: RECRUITING