Deep learning for dermatologists: Part I. Fundamental concepts.
J Am Acad Dermatol
; 87(6): 1343-1351, 2022 12.
Article
en En
| MEDLINE
| ID: mdl-32434009
ABSTRACT
Artificial intelligence is generating substantial interest in the field of medicine. One form of artificial intelligence, deep learning, has led to rapid advances in automated image analysis. In 2017, an algorithm demonstrated the ability to diagnose certain skin cancers from clinical photographs with the accuracy of an expert dermatologist. Subsequently, deep learning has been applied to a range of dermatology applications. Although experts will never be replaced by artificial intelligence, it will certainly affect the specialty of dermatology. In this first article of a 2-part series, the basic concepts of deep learning will be reviewed with the goal of laying the groundwork for effective communication between clinicians and technical colleagues. In part 2 of the series, the clinical applications of deep learning in dermatology will be reviewed and limitations and opportunities will be considered.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Neoplasias Cutáneas
/
Aprendizaje Profundo
Límite:
Humans
Idioma:
En
Revista:
J Am Acad Dermatol
Año:
2022
Tipo del documento:
Article