NMSC validation study
Research type
Research Study
Full title
Effectiveness of an image analysing algorithm to diagnose non-melanoma skin cancers compared to gold standard histological determination.
IRAS ID
267054
Contact name
Ioulios Palamaras
Contact email
Sponsor organisation
Skin Analytics Ltd
Duration of Study in the UK
0 years, 8 months, 28 days
Research summary
DERM, an Artificial Intelligence (AI)-based diagnosis support tool, has been shown to be able to accurately identify Non-melanoma skin cancers (NMSC) and other conditions from historical images of suspicious skin lesions (moles). This study aims to establish how well DERM determines the presence of these conditions in images of skin lesions collected in a clinical setting.
Suspicious skin lesions that are due to be assessed by a dermatologist and two non-suspicious lesions will be photographed using commonly available smartphone cameras with a specific lens attachment. The images will be analysed by DERM, and the results compared to the clinician's diagnosis (all lesions) and histologically-conformed diagnosis (any lesion that is biopsied).
REC name
East Midlands - Leicester South Research Ethics Committee
REC reference
19/EM/0300
Date of REC Opinion
4 Oct 2019
REC opinion
Further Information Favourable Opinion