Understanding the development status of ophthalmic artificial intelligence, holding the challenges and opportunities / 中华眼底病杂志
Chinese Journal of Ocular Fundus Diseases
; (6): 93-97, 2021.
Article
em Zh
| WPRIM
| ID: wpr-885844
Biblioteca responsável:
WPRO
ABSTRACT
With the rapid development of artificial intelligence (AI), especially deep learning, AI research in the field of ophthalmology has presented a trend of diversification in disease types, generalization in scenarios and deepening in researches. The AI algorithm has showed a good performance in the studies of diabetic retinopathy, age-related macular degeneration, glaucoma and other ocular diseases, yielding up the great potential of ophthalmic AI. However, most studies are still in their infancy, and the application of ophthalmic AI still faces many challenges such as lack of interpretability for results, deficiency of data standardization, and insufficiency of clinical applicability. At the same time, it should also be noted that the development of multi-modal imaging, the innovation of digital technologies (such as 5G and the Internet of Things) and telemedicine, and the new discovery that retina status can reflect systemic diseases have brought new opportunities for the development of ophthalmic AI. Learn the current status of AI research in the field of ophthalmology, grasp the new challenges and opportunities in its development process, successfully realizing the transformation of ophthalmic AI from research to practical application.
Texto completo:
1
Base de dados:
WPRIM
Idioma:
Zh
Revista:
Chinese Journal of Ocular Fundus Diseases
Ano de publicação:
2021
Tipo de documento:
Article