Can artificial intelligence pre-screen colonoscopy lesions
Research type
Research Study
Full title
Can artificial intelligence pre-screen colonoscopy lesions to improve bowel cancer screening
IRAS ID
348024
Contact name
Philip Quirke
Contact email
Sponsor organisation
University of Leeds
Duration of Study in the UK
3 years, 0 months, 1 days
Research summary
The bowel cancer screening programme investigates 2M people annually as well as routine colonoscopy samples being removed from symptomatic patients from the straight to FIT programme. This represents a significant burden on histopathology services. Artificial intelligence applied on Haematoxylin and Eosin sections may be able to prescreen lesions allowing some very low risk lesions not to be reviewed by Pathologists thus potentially saving medical resource. Better classification and grading of lesions may be possible to achieve using AI as well as improved reproducibility. We wish to develop an algorithm that is cost effective and of benefit to the NHS to allow rapid assessment of lesions removed at either screening colonoscopy or ‘straight to fit’ colonoscopy improving diagnoses, reducing the burden on Pathologists and freeing up time to increase capacity elsewhere in the system.
REC name
North East - Newcastle & North Tyneside 2 Research Ethics Committee
REC reference
24/NE/0232
Date of REC Opinion
16 Jan 2025
REC opinion
Further Information Favourable Opinion