Clinician-driven artificial intelligence in ophthalmology: resources enabling democratization.
Curr Opin Ophthalmol
; 32(5): 445-451, 2021 Sep 01.
Article
en En
| MEDLINE
| ID: mdl-34265784
ABSTRACT
PURPOSE OF REVIEW This article aims to discuss the current state of resources enabling the democratization of artificial intelligence (AI) in ophthalmology. RECENT FINDINGS:
Open datasets, efficient labeling techniques, code-free automated machine learning (AutoML) and cloud-based platforms for deployment are resources that enable clinicians with scarce resources to drive their own AI projects.SUMMARY:
Clinicians are the use-case experts who are best suited to drive AI projects tackling patient-relevant outcome measures. Taken together, open datasets, efficient labeling techniques, code-free AutoML and cloud platforms break the barriers for clinician-driven AI. As AI becomes increasingly democratized through such tools, clinicians and patients stand to benefit greatly.
Texto completo:
1
Colección:
01-internacional
Asunto principal:
Oftalmología
/
Inteligencia Artificial
/
Accesibilidad a los Servicios de Salud
Límite:
Humans
Idioma:
En
Revista:
Curr Opin Ophthalmol
Asunto de la revista:
OFTALMOLOGIA
Año:
2021
Tipo del documento:
Article
País de afiliación:
Estados Unidos