Imaging Capture Study
Research type
Research Study
Full title
Imaging Capture Study
IRAS ID
243926
Contact name
Hollie Caulfield
Contact email
Sponsor organisation
Queen Elizabeth Hospital
Duration of Study in the UK
0 years, 11 months, 30 days
Research summary
In order to help improve clinicians' ability to detect polyps in the bowel (pre-cancerous lesions), it is thought Artifical Intelligence will play a vital role. Early studies have shown computer assisted diagnosis (CAD) can be very accurate, as good as experts. In order to develop AI and CAD further we need to capture images of polyps. Together with the correct histology (when polyp is removed-standard care)we can feed the computer learning software. The more high quality images the better for computer learning. This will help clinicians performing colonoscopy in the future.
REC name
West Midlands - Black Country Research Ethics Committee
REC reference
18/WM/0219
Date of REC Opinion
30 Aug 2018
REC opinion
Further Information Favourable Opinion