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J Invest Dermatol ; 140(8): 1504-1512, 2020 08.
Artigo em Inglês | MEDLINE | ID: mdl-32229141

RESUMO

Artificial intelligence is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images. However, real-world clinical validation is currently lacking. We review dermatological applications of deep learning, the leading artificial intelligence technology for image analysis, and discuss its current capabilities, potential failure modes, and challenges surrounding performance assessment and interpretability. We address the following three primary applications: (i) teledermatology, including triage for referral to dermatologists; (ii) augmenting clinical assessment during face-to-face visits; and (iii) dermatopathology. We discuss equity and ethical issues related to future clinical adoption and recommend specific standardization of metrics for reporting model performance.


Assuntos
Aprendizado Profundo/ética , Dermatologia/métodos , Processamento de Imagem Assistida por Computador/métodos , Dermatopatias/diagnóstico , Pele/diagnóstico por imagem , Dermatologia/ética , Humanos , Processamento de Imagem Assistida por Computador/ética , Encaminhamento e Consulta , Pele/patologia , Dermatopatias/patologia , Telemedicina/ética , Telemedicina/métodos , Triagem/ética , Triagem/métodos
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