Advanced Filters
noise

colon-polyps Clinical Trials

A listing of colon-polyps medical research trials actively recruiting patient volunteers. Search for closest city to find more detailed information on a research study in your area.

Found 31 clinical trials

Collecting Recorded Videos of Colonoscopy and Gastroscopy Tests for the Evaluation of the (ME-APDS).

The study shall mainly help to better evaluate the performance the ME-APDS device and secondly it may help the development of additional future versions of the ME-APDS. Primary endpoints Clear video of the colon or the stomach or the esophagus achieved during the test. Acceptable colon or gastro test performance …

18 years of age All Phase N/A

Collecting Recorded Videos of Colonoscopy

The study shall mainly help to better evaluate the performance the APDS device and secondly it may help to assess the potential of the future alpha version of the device to be a useful and effective for the detection of colon Polyps.

18 years of age All Phase N/A

A Clinical Study on Endoscopic and Histopathological Outcomes of Screening and Surveillance Colonoscopies

The objective of this study is to collect colonoscopy data for use in the development and testing of artificial intelligence (AI) devices for colonoscopies.

18 years of age All Phase N/A
S Samira Hanin

Video/Image Library of Endoscopy Procedures for the Development of AI-empowered Endoscopy Quality Reporting and Educational Modules

The goal of this observational study is to establish a video/image library dataset of complete endoscopy or partial colonoscopy procedures for patients with rectal cancer or inflammatory bowel disease (IBD). With this video/image library, the aims are: to develop and validate novel AI-empowered solutions to automatically detect and report endoscopy …

18 years of age All Phase N/A
O Olaolu Olabintan, MBBS MRCP

Artificial Intelligence Development for Colorectal Polyp Diagnosis

Accurate classification of growths in the large bowel (polyps) identified during colonoscopy is imperative to inform the risk of colorectal cancer. Reliable identification of the cancer risk of individual polyps helps determine the best treatment option for the detected polyp and determine the appropriate interval requirements for future colonoscopy to …

18 years of age All Phase N/A
K Kathleen Goodrick, BN

The Australian Colonic Large Sessile Lesion Endoscopic Resection Study

A prospective, multicentre, observational study of all patients referred for endoscopic resection of sessile colorectal polyps sized ≥20 mm conducted with intention to treat analysis

18 - 99 years of age All Phase N/A
C Cherry Galorport

St. Paul's Advanced Resection Center Cohort for Colorectal Neoplasia (SPARC-C)

The SPARC-C study is a prospective, single-centre observational study of patients referred for the management of large (≥ 20mm) non-pedunculated colorectal polyps (LNPCPs). Patients are managed consistent with current standards of care. Prospectively collected data includes: patient clinicodemographic details, lesion details, procedural details, and clinical outcomes.

18 years of age All Phase N/A
O Olaolu Olabintan, MBBS MRCP

Nationwide Study of Artificial Intelligence in Adenoma Detection for Colonoscopy

The goal of this trial is to determine whether use of a Computer Assisted Detection (CADe) programme leads to an increase in ADR for either units or individual colonoscopists, independent of setting or expertise

18 - 85 years of age All Phase N/A
A Andres H Aguilera-Fish, MD, MPH

Endoscopic Resection of Large Colorectal Polyps: An Observational Cohort Study

This protocol describes a prospective cohort study. It addresses an important challenge in the prevention of colorectal cancer: how to safely and effectively remove large polyps.

18 years of age All Phase N/A

Early DiAgnosis Real-Time Healthcare System for CANcer Trial

The purpose of the study is to assess whether the AI characterisation system of the CADDIE device improves the endoscopists accuracy in the optical diagnosis of diminutive colorectal polyps in the bowel during colonoscopy. Participants will either have a colonoscopy with the assistance of the CADDIE device characterisation AI system …

18 years of age All Phase N/A

Simplify language using AI