Research status and prospect of deep learning algorithm-based artificial intelligence in assisted diagnosis of diabetic retinopathy / 中华实验眼科杂志
Chinese Journal of Experimental Ophthalmology
; (12): 684-688, 2019.
Article
em Zh
| WPRIM
| ID: wpr-753219
Biblioteca responsável:
WPRO
ABSTRACT
Based on deep learning algorithm, big stride development has been made about artificial intelligence ( AI) technology,both in its basic theory and clinical ophthalmic image analysis. AI can diagnose diabetic retinopathy ( DR) automatically by using color fundus photography. Compared with other ophthalmic diseases, DR assisted diagnosis with AI might be far more advanced technic. Benefited from advantage of fast diagnostic speed,high accuracy and accordingly saved human resources, great potential can be expected in AI-assisted DR screening and grading. However,as a recently developed interdisciplinary technology,deep learning-based AI-aided DR screening system still needs multidisciplinary cooperation and resources sharing to get further development,such as overcoming data standardization, real-world verification and productization issues. Although challenges coexist, AI applied in ophthalmology clinical practice can be realized with technical development and widespread concern of society.
Texto completo:
1
Índice:
WPRIM
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Experimental Ophthalmology
Ano de publicação:
2019
Tipo de documento:
Article