Clinical trials: AI-assisted Colonoscopy
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
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 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, 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 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
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, 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
Screening Colonoscopy
Does AI-assisted Colonoscopy Improve Adenoma Detection in Screening Colonoscopy?
To date, there is a lack of large-scale randomized controlled study using AI assistance in the detection of polyps/adenoma in a screening population.
- Trial name
- NCT04422548
- Testing
- AI-assisted Colonoscopy, Standard Colonoscopy
- Where
- Hong Kong
- Volunteers
- 2,994 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
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.