Using artificial intelligence technologies to improve skin cancer detection in primary care
O. T. G. Jones, Rubeta Matin, Fiona M Walter
Abstract
Skin cancers are the most common cancer worldwide,1 and early diagnosis is associated with better outcomes.2 There is considerable interest in applying artificial intelligence (AI) to skin cancer diagnosis, specifically deep learning-based classifiers. Most existing technologies have been developed as patient-facing smartphone apps or for use in secondary care to triage images of suspicious skin lesions.3,4 Within the UK's National Health Service (NHS), the current approach towards AI implementation is to use AI to triage referrals from primary care to secondary care to screen out obviously benign lesions.
Topics & Concepts
Primary careCancerPrimary (astronomy)Cancer detectionComputer scienceArtificial intelligenceMedicineInternal medicineFamily medicineAstronomyPhysicsCutaneous Melanoma Detection and ManagementAI in cancer detectionSkin Protection and Aging