An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
The impact of artificial intelligence and deep learning in eye diseases: a review
Artificial intelligence (AI) is a subset of computer science dealing with the development and
training of algorithms that try to replicate human intelligence. We report a clinical overview of …
training of algorithms that try to replicate human intelligence. We report a clinical overview of …
CataractNet: An automated cataract detection system using deep learning for fundus images
Cataract is one of the most common eye disorders that causes vision distortion. Accurate
and timely detection of cataracts is the best way to control the risk and avoid blindness …
and timely detection of cataracts is the best way to control the risk and avoid blindness …
Automatic detection of diabetic eye disease through deep learning using fundus images: a survey
Diabetes Mellitus, or Diabetes, is a disease in which a person's body fails to respond to
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
insulin released by their pancreas, or it does not produce sufficient insulin. People suffering …
Optimized convolution neural network based multiple eye disease detection
P Muthukannan - Computers in Biology and Medicine, 2022 - Elsevier
World health organization (WHO) reports around 2.2 billion people in the world as visually
challenged which is mostly due to the age-related eye diseases such as age-related …
challenged which is mostly due to the age-related eye diseases such as age-related …
Smartphone eye examination: artificial intelligence and telemedicine
MAP Vilela, A Arrigo, MB Parodi… - Telemedicine and e …, 2024 - liebertpub.com
Background: The current medical scenario is closely linked to recent progress in
telecommunications, photodocumentation, and artificial intelligence (AI). Smartphone eye …
telecommunications, photodocumentation, and artificial intelligence (AI). Smartphone eye …
Fundus image-based cataract classification using a hybrid convolutional and recurrent neural network
Cataract is the most prevailing reason for blindness across the globe, which occupies about
4.2% population of the world. Even with the developments in visual sciences, fundus image …
4.2% population of the world. Even with the developments in visual sciences, fundus image …
Detecting visually significant cataract using retinal photograph-based deep learning
Age-related cataracts are the leading cause of visual impairment among older adults. Many
significant cases remain undiagnosed or neglected in communities, due to limited …
significant cases remain undiagnosed or neglected in communities, due to limited …
[HTML][HTML] Artificial intelligence for cataract detection and management
The rising popularity of artificial intelligence (AI) in ophthalmology is fuelled by the ever-
increasing clinical “big data” that can be used for algorithm development. Cataract is one of …
increasing clinical “big data” that can be used for algorithm development. Cataract is one of …
Automatic detection of eye cataract using deep convolution neural networks (DCNNs)
Eye cataract is a condition in which the lens of the eye becomes clouding or less
transparent. This affects the clear vision and is the most prevailing causes of blindness …
transparent. This affects the clear vision and is the most prevailing causes of blindness …