NCT04937647

Evaluation of Neoplasia With Artificial Intelligence in Gastrointestinal Endoscopy

Collection of Endoscopic Images and Videos for Validation of Artificial Intelligence Algorithms for Computer Aided Detection and Characterisation of Early Gastrointestinal Neoplasia

• Status: Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,650 (estimated)
• Sponsor: Portsmouth Hospitals NHS Trust · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This study aims to validate and evaluate AI algorithms for detection and characterization of early GI neoplasia.

Detailed description

This is an investigator initiated; multi-centre study and will be conducted in two phases. Validation \& Optimization phase, where routinely collected and anonymized endoscopic images and videos from the departmental teaching and training library will be used to validate, and if needed fine-tune and improve, the accuracy of an AI algorithm. Testing phase, where the evaluation of AI algorithms performance will be conducted on a prospective basis. The ground truth (standard) will be expert assessment and histological diagnosis. This study has no direct impact on patient's clinical care, and collection of all endoscopic data will take place during standard endoscopy procedures done for purely clinical indications. No additional procedures, biopsies or interventions will be performed as a part of this study.

Conditions

• Gastrointestinal Neoplasms

Interventions

Type	Name	Description
OTHER	collection of endoscopic images and videos	collection of endoscopic images and videos

Timeline

• Start date: 2021-06-16
• Primary completion: 2026-06-03
• Completion: 2026-06-03
• First posted: 2021-06-24
• Last updated: 2025-12-23

Locations

1 site across 1 country: United Kingdom