Development of an artificial intelligence algorithm for the diagnosis of infantile hemangiomas.
Pediatr Dermatol
; 39(6): 934-936, 2022 Nov.
Article
em En
| MEDLINE
| ID: mdl-36164801
ABSTRACT
Prompt and accurate diagnosis of infantile hemangiomas is essential to prevent potential complications. This can be difficult due to high rates of misdiagnosis and poor access to pediatric dermatologists. In this study, we trained an artificial intelligence algorithm to diagnose infantile hemangiomas based on clinical images. Our algorithm achieved a 91.7% overall accuracy in the diagnosis of facial infantile hemangiomas.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Neoplasias Cutâneas
/
Hemangioma Capilar
/
Hemangioma
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Child
/
Humans
Idioma:
En
Revista:
Pediatr Dermatol
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Estados Unidos