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The study has 2 parts. Part 1 will investigate the effects of introducing teledermoscopy in clinical practice, more specifically the change in referral patterns, the risk of undetected skin cancers and the effect on diagnostic accuracy in general practitioners. Part 2 will create artificial intelligence (AI) as support tools for teledermocsopic assessors and investigate the effect of introducing AI within teledermocsopy. In this study the investigators will measure the diagnostic accuracy of teledermoscopic assessors that had access to the results of artificial intelligence algorithm compared to those who did not. Data will be collected through teledermoscopic referrals, patient records, national registries and questionnairs.
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