Clinical trials: AI-assisted Colonoscopy, open to volunteers
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
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)
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
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
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
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
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
Artificial Intelligence (AI), Colonoscopy Education
Artificial Intelligence-assisted Colonoscopy, Tandem Study
The goal of this clinical trial is to evaluate effect of artifial intelligent (AI) system, Endoscopy as AI-powered Device (ENAD) on adenoma miss rate from colonoscopy underwent by trainee endoscopist.
- Conditions
- Artificial Intelligence (AI), Colonoscopy Education, Adenoma Colon Polyp
- Trial name
- NCT07023471
- Testing
- Group A (Trainee --> expert), Group B (Trainee +AI --> expert), Group C (Trainee --> expert + AI)
- Where
- Thailand
- Volunteers
- 364 people
- Sponsor
- Mahidol University
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)