Clinical trials: AI-assisted Colonoscopy
Flat Colorectal Lesion
Comparison of Flat Colorectal Lesion Detection by Artificial Intelligence-assisted Colonoscopy Versus Endoscopists
The development of artificial intelligence (AI) systems in the field of colorectal endoscopy is currently booming, colorectal cancer being, by its frequency and severity, a real public health problem.
- Trial name
- AIChallengeMed (NCT05942677)
- Testing
- proportion of colorectal lesions
- Where
- France
- Volunteers
- 160 people
- Sponsor
- Hospices Civils de Lyon
Bowel Preparation for Colonoscopy, Colonoscopy
Exploring the Clinical Value of an AI-Assisted Patient Self-Assessment App for Bowel Preparation: A Multicenter Study
The quality of bowel preparation hinges on how well patients follow the prep-drug regimen, so intensive education is essential. Phone calls, texts, short videos, and mini-programs have all been shown to boost compliance and…
- Trial name
- NCT07337694
- Testing
- The app group
- Volunteers
- 524 people, healthy volunteers welcome
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Colonic Adenoma, Colonic Polyp
Endocuff With or Without AI-assisted Colonoscopy
Colonoscopy is considered the gold standard for diagnosis of colonic polyps. However, it was reported that colonoscopy could still miss colonic polyps. Many attempts have been made to improve the detection rate of colonoscopy.
- Conditions
- Colonic Adenoma, Colonic Polyp, Colonic Cancer
- Trial name
- NCT05133544
- Testing
- Endocuff with AI, AI alone
- Where
- Hong Kong
- Volunteers
- 656 people
- Sponsor
- The University of Hong Kong
Artificial Intelligence
Artificial Intelligence (AI) Assisted Real-time Adenoma Detection and Classification During Colonoscopies
This is a pragmatic, double-blind, randomized, controlled trial, to evaluate the effect of implementing a Computer-assisted detection (CADe) system within the routine clinical practice of Canadian healthcare institutions.
- Trial name
- CAG-SIG-AI (NCT05244278)
- Testing
- Medtronic-GI genius (CADe system for detecting colorectal polyps)
- Where
- Canada
- Volunteers
- 1,596 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Colon Polyp, Colon Neoplasm
A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures
EndoVigilant software device augments existing colonoscopy procedure video in real-time by highlighting colon polyps and mucosal abnormalities.
- Conditions
- Colon Polyp, Colon Neoplasm, Colon Adenoma
- Trial name
- ColonCADe (NCT04555135)
- Testing
- EndoVigilant Software
- Where
- 4 sites in United States
- Volunteers
- 769 people
- Sponsor
- EndoVigilant Inc
Colonic Neoplasms
The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
In this study, the investigators aim to assess the influence of a computer-aided detection (CADe) system on the visual gaze patterns of endoscopists in order to further understand the effect of AI during real-time colonoscopy.
- Trial name
- REVEAL (NCT05619614)
- Testing
- eye-tracking glasses
- Where
- Netherlands
- Volunteers
- 52 people
- Sponsor
- Radboud University Medical Center
Polyp Colorectal, Adenoma Colon
AI Colorectal Polyp Detection
This study is intended to demonstrate the superiority of colorectal polyp detection using computer-assisted colonoscopy compared to conventional colonoscopy.
- Trial name
- NCT04979962
- Testing
- EW10-EC02 (Endoscopy Support Program)
- Where
- 10 sites in United States
- Volunteers
- 1,162 people, healthy volunteers welcome
- Sponsor
- Fujifilm Medical Systems USA, Inc.
Bowel Preparation, Colonoscopy
Multimodal AI-Assisted Bowel Preparation for Colonoscopy
This randomized controlled trial aims to evaluate the effectiveness of a multimodal artificial intelligence (AI)-assisted smartphone application in improving bowel preparation outcomes among hospitalized adults undergoing…
- Trial name
- MMAI-BP (NCT07812155)
- Testing
- Multimodal AI-Assisted Bowel Preparation Education
- Where
- Taiwan
- Volunteers
- 140 people
- Sponsor
- Chiayi Christian Hospital
Colorectal Adenoma, Colorectal Polyp
To Compare Artificial Intelligence Software Aided Adenoma Detection in Screening Colonoscopies Versus Standard Colonoscopy Without Artificial Intelligence Software Assistance in Participants Between 45 and 75 Years of Age
The aim of this study is to assess the efficacy of Ultivision Artificial Intelligence (AI) Software in detecting adenomas in screening colonoscopy procedures. The safety of Ultivision AI Software will also be assessed.
- Conditions
- Colorectal Adenoma, Colorectal Polyp, Colorectal Adenocarcinoma, Colorectal SSA
- Trial name
- AIDA (NCT04196088)
- Testing
- Ultivision Artificial Intelligence Software, No Artificial Intelligence Software enhancement
- Where
- 9 sites in United States
- Volunteers
- 978 people, healthy volunteers welcome
- Sponsor
- Docbot, Inc.
Colorectal Neoplasms, Colorectal Cancer
A Study Comparing Standard and AI-Assisted Colonoscopies for Detecting and Characterizing Colorectal Lesions in Adults Aged 50-74 Undergoing Cancer Screening
The goal of this clinical trial is to determine whether using artificial intelligence (AI) can improve the detection and characterization of abnormal growths (polyps) during colonoscopy in adults aged 50 to 74 years who are…
- Conditions
- Colorectal Neoplasms, Colorectal Cancer, Adenoma Colon Polyp
- Trial name
- NCT07125300
- Testing
- Artificial Intelligence-Assisted Colonoscopy
- Where
- Spain
- Volunteers
- 368 people, healthy volunteers welcome
- Sponsor
- Javier Santos Fernández
Adenoma Colon Polyp
Prospective Study of EndoAim: ASUS AI Solution for Colorectal Polyp Diagnosis
"The colorectal cancer mortality rate in Taiwan ranks third among all cancers, so it is crucial to prevent colorectal cancer through regular colonoscopy screenings and remove polyps with higher cancer risk.
- Trial name
- NCT06656312
- Testing
- Use ASUS EndoAim as an assistant software to perform colonoscopy
- Where
- Taiwan
- Volunteers
- 548 people
- Sponsor
- Wen-Hsin Huang
Inflammatory Bowel Disease (Crohn's Disease and Ulcerative Colitis), Ulcerative Colitis (UC)
Narrow Band Imaging Versus Artificial Intelligence for Colonic Surveillance in Inflammatory Bowel Disease
Patients with inflammatory bowel disease (IBD) - ulcerative colitis or Crohn's disease - have a higher risk of developing colorectal cancer than the general population.
- Conditions
- Inflammatory Bowel Disease (Crohn's Disease and Ulcerative Colitis), Ulcerative Colitis (UC), Crohn's Disease Colon, Colonic Dysplasia/Adenomata
- Trial name
- CLEAR-IBD (NCT07694362)
- Testing
- ENDO-AID CADe System (Olympus, Tokyo, Japan) (AI device)
- Where
- Spain
- Volunteers
- 60 people
- Sponsor
- Vall d'Hebron Institute Research
Colorectal Polyps, Colorectal Adenoma
AI-Assisted Optical Diagnosis (CADx) for Diminutive Colorectal Polyps
This study evaluates whether an artificial intelligence system (GI Genius, Medtronic), already approved by Health Canada, can help doctors accurately identify, in real time during colonoscopy, which small colorectal polyps (5 mm…
- Conditions
- Colorectal Polyps, Colorectal Adenoma, Diminutive Colorectal Polyp
- Trial name
- CADxGIG (NCT07738484)
- Testing
- GI Genius CADx module (Medtronic)
- Volunteers
- 840 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Artificial Intelligence
Using AI-assisted Optical Polyp Diagnosis for Diminutive Colorectal Polyps
This is a prospective study that is the first to implement resect and discard and diagnose and leave strategies in real-time practice using stringent documentation and adjudication by 2 expert endoscopists as the gold standard.
- Trial name
- AI-OD (NCT06059378)
- Testing
- Artificial intelligence-assisted classification (CADx)
- Where
- Canada
- Volunteers
- 204 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
AI-assisted Colonoscopy
AI_Colonoscopy_for_Fellows
The goal of this study is to look at how good artificial intelligence (AI) assisted colonoscopy is compared to conventional colonoscopy in detecting polyps when used by gastroenterology fellows.
- Trial name
- NCT07661914
- Testing
- AI assisted colonoscopy, Conventional Colonoscopy
- Where
- United States
- Volunteers
- 8 people, healthy volunteers welcome
- Sponsor
- University of Oklahoma
Artificial Intelligence Assistance in Endoscopy Recovery, AI Validation
AI Assistance in GI Endoscopy Recovery Assessment
We have developed and validated an AI model to assess endoscopy recovery status based on 400 voice recordings from 200 patients. This model has a mean accuracy of 84.14% with a mean area under the curve (AUC) of 0.91.
- Trial name
- AIVR2 (NCT06923059)
- Testing
- AI-assisted endoscopy recovery assessment
- Where
- Hong Kong
- Volunteers
- 460 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
Artificial Intelligence, Colonoscopy
AI-assisted Colonoscopy Report System In Improving Reporting Quality
In this study, the investigators proposed a prospective study about the effectiveness of speech and image recognition-based system in improving reporting quality during colonoscopy for colonoscopy report quality in endoscopists.
- Trial name
- NCT05829590
- Testing
- Artificial intelligence assistant system
- Where
- China
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Renmin Hospital of Wuhan University
Colorectal Cancer Screening, Colon Polyps and Adenomas
Artificial Intelligence (AI) Technology May Help Patients to Understand Bowel Preparation Better Before They go for Colonoscopy.This Study Attempts to Leverage AI Chatbot in Counselling Patients to Improve Bowel Cleanliness, Reduce Anxiety as Well as Increase Procedural Satisfaction
Traditional pre-colonoscopy counselling requires significant time from healthcare workers to explain procedures, limiting efficiency and patient turnover.
- Conditions
- Colorectal Cancer Screening, Colon Polyps and Adenomas, Bowel Preparation Quality, Artificial Intelligence (AI)
- Trial name
- NCT06905782
- Testing
- AI chatbot study arm, Traditional counselling study arm
- Where
- Malaysia
- Volunteers
- 96 people, healthy volunteers welcome
- Sponsor
- National University of Malaysia
Colorectal Neoplasms, Colonoscopy
AI-assisted Integrated Care to Promote Colonoscopy Uptake
Colorectal cancer (CRC) ranks the second most common cancer and the fourth leading cause of cancer-related deaths in China. Early screening of CRC has been proven to reduce the incidence and mortality, with colonoscopy as the…
- Trial name
- NCT07261059
- Testing
- AI-assisted integrated care
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Fudan University
Self Control, Prospective
Quantitative Bowel Readiness Assessment System in Predicting the Missed Detection Rate of Adenomas
To verify the correlation between the proposed artificial intelligence based bowel preparation assessment system and the missed detection rate of adenomas, and to evaluate whether the system can effectively assist doctors in…
- Conditions
- Self Control, Prospective, Interventional
- Trial name
- NCT05145712
- Testing
- Bowel readiness
- Where
- China
- Volunteers
- 263 people
- Sponsor
- Renmin Hospital of Wuhan University