Novel tools utilizing artificial intelligence (AI) as total body photography (TBP) and sequential digital dermoscopy imaging (SDDI) with deep-learning algorithms are new approaches with the potential to improve the screening of melanocytic skin lesions by detecting new pigmented lesions as well as dynamic changes in existing moles. TBP with automated non-contact dermoscopy holds the potential to perform these tasks more time efficiently. Both TBP systems enable imaging of the majority of a patient's skin surface. These two systems are distinguished by their methods: the Vectra system requires manual and selective SDDI acquisition using a handheld camera, whereas the Deviskan system automatically captures SDDI for all pigmented lesions exceeding 4 mm, without direct skin contact. Patients receive audio and visual instructions through monitors to maintain specific postures as the camera moves to capture images.
The investigators aim to compare the usability and limits of both devices in a real-world scenario, focusing on the patients' and doctors' preference and opinion. This is the first head-to-head comparison of these two total body photography and dermoscopic imaging devices.
