Smartphone apps for skin cancer diagnosis: Implications for patients and practitioners.
Australas J Dermatol
; 59(3): 168-170, 2018 Aug.
Article
em En
| MEDLINE
| ID: mdl-29292506
A research team at Stanford recently reported that their deep convolutional neural network had learned to classify skin cancer with a level of competence equivalent to that of board-certified dermatologists. It is possible that in time, and using larger datasets, such software may surpass the average doctor in diagnostic ability, and that highly accurate technology may be available to both clinicians and patients via smartphones. This technology is poised to change the landscape of skin cancer diagnosis for both physicians and patients, but whether such changes are beneficial will depend on how they are regulated and implemented.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Papel do Médico
/
Neoplasias Cutâneas
/
Interpretação de Imagem Assistida por Computador
/
Dermatologia
/
Aplicativos Móveis
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Australas J Dermatol
Ano de publicação:
2018
Tipo de documento:
Article
País de afiliação:
Austrália