Artificial intelligence for diabetic retinopathy / 中华医学杂志(英文版)
Chinese Medical Journal
;
(24): 253-260, 2021.
Artículo
en Inglés
| WPRIM
| ID: wpr-921267
ABSTRACT
Diabetic retinopathy (DR) is an important cause of blindness globally, and its prevalence is increasing. Early detection and intervention can help change the outcomes of the disease. The rapid development of artificial intelligence (AI) in recent years has led to new possibilities for the screening and diagnosis of DR. An AI-based diagnostic system for the detection of DR has significant advantages, such as high efficiency, high accuracy, and lower demand for human resources. At the same time, there are shortcomings, such as the lack of standards for development and evaluation and the limited scope of application. This article demonstrates the current applications of AI in the field of DR, existing problems, and possible future development directions.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Inteligencia Artificial
/
Tamizaje Masivo
/
Ceguera
/
Diabetes Mellitus
/
Retinopatía Diabética
Tipo de estudio:
Guía de Práctica Clínica
/
Estudio pronóstico
/
Estudio de tamizaje
Límite:
Humanos
Idioma:
Inglés
Revista:
Chinese Medical Journal
Año:
2021
Tipo del documento:
Artículo
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