Evaluation of ArTificial Intelligence System (Gi-Genius) for adenoMa dEtection in Lynch Syndrome.
NCT04909671 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 404
Last updated 2022-03-17
Summary
The purpose of this study is to assess if artificial intelligence aid colonoscopy colonoscopy is superior to conventional colonoscopy for the detection of adenomas during surveillance colonoscopy in patients with Lynch syndrome.
Conditions
Interventions
- DEVICE
-
Gi Genius, Medtronic
GI geniusTM (Medtronic) is an artificial intelligence device designed and validated on a dataset of white-light endoscopy videos from high-quality randomized controlled trials for the detection of colorectal lesions during colonoscopy. Based on a deep learning system using convolutional neural networks, GI genius works in real-time side-to-side with the gastroenterologist during colonoscopy highlighting the presence of precancerous lesions with a visual marker (green box) in real time and designed to be integrated with the majority of colonoscopies.
- OTHER
-
White light standart colonoscopy
High definition white light endoscopy will be used during the scope withdrawal
Sponsors & Collaborators
-
European Society of Gastrointestinal Endoscopy
collaborator OTHER -
Hospital Clinic of Barcelona
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- DIAGNOSTIC
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-09-13
- Primary Completion
- 2023-12-01
- Completion
- 2023-12-01
Countries
- Spain
Study Locations
More Related Trials
-
Efficacy of Artificial Intelligence-assisted Colonic Polyp Detection System
NCT05941689 ·Status: COMPLETED ·Phase: NA
-
Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE)
NCT05006092 ·Status: COMPLETED ·Phase: NA
-
Adenoma Detection Rate in Artificial Intelligence-assisted Colonoscopy
NCT05740137 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence for Real-time Detection and Monitoring of Colorectal Polyps
NCT04586556 ·Status: COMPLETED ·Phase: NA
-
Accuracy of Real Time Characterization in Artificial Intelligence-assisted Colonoscopy
NCT05754229 ·Status: ACTIVE_NOT_RECRUITING ·Phase: NA
-
Intelligent-C Endoscopy Module for Real-time Detection of Colonic Lesions
NCT05784935 ·Status: COMPLETED
-
A Single Center Study on the Effectiveness and Safety of Polyp Classification With Artificial Intelligence
NCT04216901 ·Status: UNKNOWN
-
Assessing the Additional Neoplasia Yield of Computer-aided Colonoscopy in a Screening Setting
NCT04441580 ·Status: COMPLETED ·Phase: NA
-
Comparing Detection of Standard Colonoscopy, CAD-EYE and Combined CAD-EYE and G-EYE® Aided Colonoscopy
NCT05237310 ·Status: UNKNOWN ·Phase: NA
-
Evaluation of Neoplasia With Artificial Intelligence in Gastrointestinal Endoscopy
NCT04937647 ·Status: RECRUITING
-
Nationwide Study of Artificial Intelligence in Adenoma Detection for Colonoscopy
NCT05870332 ·Status: RECRUITING
-
Artificial Intelligence-assisted Colonoscopy, Tandem Study
NCT07023471 ·Status: ENROLLING_BY_INVITATION ·Phase: NA
-
Polyp REcognition Assisted by a Device Interactive Characterization Tool - The PREDICT Study
NCT04589078 ·Status: COMPLETED
-
High Definition White-Light Colonoscopy vs. Chromoendoscopy for Surveillance of Lynch Syndrome.
NCT02951390 ·Status: COMPLETED ·Phase: NA
-
Artificial Intelligence in Colonic Polyp Detection
NCT05178095 ·Status: COMPLETED ·Phase: NA
-
Real-time AI-assisted Endocyroscopy for the Diagnosis of Colorectal Lesions
NCT06791395 ·Status: COMPLETED
-
Artificial Intelligence Aid Systems and Endocuff in Colorectal Adenoma Detection
NCT05141773 ·Status: COMPLETED ·Phase: NA
-
Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps
NCT06059378 ·Status: RECRUITING ·Phase: NA
-
Comparison of Flat Colorectal Lesion Detection by Artificial Intelligence-assisted Colonoscopy Versus Endoscopists
NCT05942677 ·Status: UNKNOWN
-
GENESIS: Genetic Biopsy for Prediction of Surveillance Intervals After Endoscopic Resection of Colonic Polyps
NCT02595645 ·Status: COMPLETED ·Phase: NA
-
The EYE Study Enhancing the Diagnostic Yield of Standard Colonoscopy by Artificial Intelligence Aided Endoscopy
NCT05139186 ·Status: COMPLETED ·Phase: NA
-
Endocuff With or Without AI-assisted Colonoscopy
NCT05133544 ·Status: UNKNOWN ·Phase: NA
-
The AID Study 2: Artificial Intelligence for Colorectal Adenoma Detection 2
NCT04260321 ·Status: COMPLETED
-
Artificial Intelligence-assisted Colonoscopy on Detection of Missed Proximal Lesions
NCT04294355 ·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