Clinical trials: Bowel Cleanliness, active
The Effect of Audio-visual Aids on Bowel Cleanliness, Audiovisual Aids
Visual Aids for Colonoscopy Preparation: A Prospective Study on Patient Understanding and Bowel Cleanliness in Colonoscopy Patients
Effective communication in healthcare is critical for improving patient outcomes, particularly in enhancing health literacy and enabling informed decision-making.
- Trial name
- VACP (NCT07155603)
- Testing
- Animated Video Group 1
- Where
- Switzerland
- Volunteers
- 120 people
- Sponsor
- Prof. Dr. Jörg Leuppi
Colorectal Cancer Prevention, Colorectal Cancer (Diagnosis)
Study Comparing the Quality of Colon Cleanliness With Prepackaged LRD (Low-residue Diet) vs. Guided (POG).
Low-residue diet (LRD) in patient improves the quality of the colon cleanliness and thus the adenoma detection rate (ADR). This is a key criterion in colonoscopy screening for colorectal cancer (CRC).
- Conditions
- Colorectal Cancer Prevention, Colorectal Cancer (Diagnosis), Colorectal Adenocarcinoma
- Trial name
- POG (NCT07361575)
- Testing
- Colonoscopy, Questionnaires, Pre-colonoscopy diet according to the investigator's oral instructions
- Where
- France
- Volunteers
- 230 people
- Sponsor
- Clinique Paris-Bercy
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
Development and Validation of an Artificial Intelligence-assisted System for Bowel Cleanliness Assessment Based on Withdrawal Distance Weighting
To address the limitations of current AI-based systems that rely on the assumption of a "constant withdrawal speed," this study proposes the integration of the UPD-3 endoscopic positioning system.
- Trial name
- NCT07150130
- Testing
- No Intervention: Observational Cohort
- Where
- China
- Volunteers
- 700 people
- Sponsor
- Fudan University