Deep learning for dermatologists: Part II. Current applications.
J Am Acad Dermatol
; 87(6): 1352-1360, 2022 12.
Article
en En
| MEDLINE
| ID: mdl-32428608
ABSTRACT
Because of a convergence of the availability of large data sets, graphics-specific computer hardware, and important theoretical advancements, artificial intelligence has recently contributed to dramatic progress in medicine. One type of artificial intelligence known as deep learning has been particularly impactful for medical image analysis. Deep learning applications have shown promising results in dermatology and other specialties, including radiology, cardiology, and ophthalmology. The modern clinician will benefit from an understanding of the basic features of deep learning to effectively use new applications and to better gauge their utility and limitations. In this second article of a 2-part series, we review the existing and emerging clinical applications of deep learning in dermatology and discuss future opportunities and limitations. Part 1 of this series offered an introduction to the basic concepts of deep learning to facilitate effective communication between clinicians and technical experts.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Radiología
/
Aprendizaje Profundo
Límite:
Humans
Idioma:
En
Revista:
J Am Acad Dermatol
Año:
2022
Tipo del documento:
Article