Using artificial intelligence to improve colorectal polyp diagnosis
Development of a Novel Real Time Computer Assisted Colonoscopy Diagnostic Tool for Colorectal Polyps: Lesion Diagnosis and Personalised Patient Management
This study is testing if using artificial intelligence during colonoscopies can help doctors find and identify colorectal polyps more accurately, which could reduce unnecessary surgeries for patients.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 4000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | King's College Hospital NHS Trust Academic / other |
| Locations | 1 site (London) |
| Trial ID | NCT06447012 on ClinicalTrials.gov |
What this trial studies
This study focuses on the application of artificial intelligence in enhancing the detection and classification of colorectal polyps during colonoscopy. By utilizing computer-assisted detection techniques, the study aims to improve the accuracy of polyp diagnosis, which is crucial for assessing cancer risk and determining appropriate treatment options. The research highlights the potential to reduce unnecessary surgeries by accurately identifying benign polyps that could be managed endoscopically. The study is observational and involves patients undergoing symptomatic or screening colonoscopy at King's College Hospital.
Who should consider this trial
Good fit: Ideal candidates for this study are adults over 18 years old who are undergoing symptomatic or screening colonoscopy.
Not a fit: Patients who are unable to provide informed consent, have colitis-associated dysplasia, or are pregnant may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate diagnoses of colorectal polyps, reducing unnecessary surgeries and improving patient outcomes.
How similar studies have performed: Other studies have shown promise in using artificial intelligence for polyp detection, indicating a growing acceptance of this approach in clinical practice.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: \- Above 18 years at inclusion Symptomatic or screening colonoscopy Exclusion Criteria: * Unable to provide informed consent. * Colitis Associated Dysplasia * Polyps at surgical anastomosis sites * Pregnancy
Where this trial is running
London
- King's College Hospital NHS Foundation Trust — London, United Kingdom (Recruiting)
Study contacts
- Study coordinator: Shraddha B Gulati, MBBS PHD MRCP
- Email: shraddha.gulati@nhs.net
- Phone: +442032996044
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.