Applications of deep learning in fundus images: A review
The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …
importance. Due to its powerful performance, deep learning is becoming more and more …
Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology
With the advancement of computational power, refinement of learning algorithms and
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
architectures, and availability of big data, artificial intelligence (AI) technology, particularly …
[HTML][HTML] A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions
B Pandey, DK Pandey, BP Mishra… - Journal of King Saud …, 2022 - Elsevier
The extensive growth of data in the health domain has increased the utility of Deep Learning
in health. Deep learning is a highly advanced successor of artificial neural networks, having …
in health. Deep learning is a highly advanced successor of artificial neural networks, having …
Assessment and management of retinopathy of prematurity in the era of anti-vascular endothelial growth factor (VEGF)
ASH Tsai, HD Chou, XC Ling, T Al-Khaled… - Progress in retinal and …, 2022 - Elsevier
The incidence of retinopathy of prematurity (ROP) continues to rise due to the improved
survival of very low birth weight infants in developed countries. This epidemic is also fueled …
survival of very low birth weight infants in developed countries. This epidemic is also fueled …
Applications of artificial intelligence for retinopathy of prematurity screening
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a
result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial …
result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial …
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging
Using medical images to evaluate disease severity and change over time is a routine and
important task in clinical decision making. Grading systems are often used, but are …
important task in clinical decision making. Grading systems are often used, but are …
Artificial intelligence in the neonatal intensive care unit: the time is now
Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit
(NICU) care by leveraging the large-scale, high-dimensional data that are generated by …
(NICU) care by leveraging the large-scale, high-dimensional data that are generated by …
[HTML][HTML] Deep learning algorithm for automated diagnosis of retinopathy of prematurity plus disease
Purpose: This study describes the initial development of a deep learning algorithm, ROP. AI,
to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images …
to automatically diagnose retinopathy of prematurity (ROP) plus disease in fundal images …
[HTML][HTML] Artificial intelligence in retinopathy of prematurity diagnosis
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …
diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area …
External validation of a retinopathy of prematurity screening model using artificial intelligence in 3 low-and middle-income populations
Importance Retinopathy of prematurity (ROP) is a leading cause of preventable blindness
that disproportionately affects children born in low-and middle-income countries (LMICs). In …
that disproportionately affects children born in low-and middle-income countries (LMICs). In …