2.1
DERM is an artificial intelligence (AI)-based skin lesion analysis technology intended for use in the screening, triage and assessment of suspected skin cancer lesions in people aged 18 or over. DERM can be used within teledermatology services after referral from primary care. It is intended to be used as an automated tool or with a healthcare professional review (known as a second read), to decide if further assessment by a dermatologist is needed. A smartphone is used to take images of skin lesions using a dermoscopic lens attachment, and the images are uploaded to the online platform. The DERM platform uses an AI-based fixed algorithm (it does not update itself automatically) to analyse the dermoscopic images and provide a suspected diagnosis of the lesion. If DERM labels the lesion as benign, the person is discharged from the urgent suspected skin cancer pathway and is sent the results with safety-netting advice. If DERM labels the lesion as pre-cancer or cancer, an NHS dermatologist reviews the case virtually and decides on a management plan for the person. DERM can classify lesions as one of the following types: melanoma, squamous cell carcinoma, basal cell carcinoma, intra-epidermal carcinoma, actinic keratosis, atypical nevus or benign lesions (this includes benign vascular lesions, seborrheic keratosis, dermatofibroma, solar lentigo and melanocytic benign nevus). If a lesion has features of more than 1 lesion type, DERM uses a risk hierarchy to classify it as the more severe suspected lesion type.