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Optimisation of skin phototype classification.

Sophie S LimTasneem F MohammadIndermeet KohliIltefat HamzaviMichelle Rodrigues
Published in: Pigment cell & melanoma research (2023)
Understanding individuals' skin pigmentation and photosensitivity is important in judging risk of skin cancer and response to certain treatment modalities. However, individuals with darkly pigmented skin are poorly represented in the widely used Fitzpatrick skin phototype (FST) system. Moreover, the FST system is prone to misuse, as it relies on subjective patient and clinician assessment of skin type, and does not clearly differentiate pigmentation from photosensitivity. By evaluating the key literature surrounding the FST system, its criticisms and proposed alternatives, this review serves to understand how skin phototype classification can be optimised.
Keyphrases
  • soft tissue
  • wound healing
  • machine learning
  • deep learning
  • systematic review
  • skin cancer
  • case report
  • physical activity