Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …
Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
process is long and very costly due to its high recurrence and mortality rates. Accurate early …
[HTML][HTML] Predicting the risk of developing diabetic retinopathy using deep learning
Background Diabetic retinopathy screening is instrumental to preventing blindness, but
scaling up screening is challenging because of the increasing number of patients with all …
scaling up screening is challenging because of the increasing number of patients with all …
Artificial intelligence to detect papilledema from ocular fundus photographs
Background Nonophthalmologist physicians do not confidently perform direct
ophthalmoscopy. The use of artificial intelligence to detect papilledema and other optic-disk …
ophthalmoscopy. The use of artificial intelligence to detect papilledema and other optic-disk …
A combined convolutional and recurrent neural network for enhanced glaucoma detection
Glaucoma, a leading cause of blindness, is a multifaceted disease with several patho-
physiological features manifesting in single fundus images (eg, optic nerve cupping) as well …
physiological features manifesting in single fundus images (eg, optic nerve cupping) as well …
The use of ChatGPT to assist in diagnosing glaucoma based on clinical case reports
Introduction The purpose of this study was to evaluate the capabilities of large language
models such as Chat Generative Pretrained Transformer (ChatGPT) to diagnose glaucoma …
models such as Chat Generative Pretrained Transformer (ChatGPT) to diagnose glaucoma …
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development
A method for detecting glaucoma based only on optical coherence tomography (OCT) is of
potential value for routine clinical decisions, for inclusion criteria for research studies and …
potential value for routine clinical decisions, for inclusion criteria for research studies and …
Deep learning in glaucoma with optical coherence tomography: a review
Deep learning (DL), a subset of artificial intelligence (AI) based on deep neural networks,
has made significant breakthroughs in medical imaging, particularly for image classification …
has made significant breakthroughs in medical imaging, particularly for image classification …
[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression
AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …
deep learning has risen to the forefront of artificial intelligence, with performances that often …
[HTML][HTML] End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images
The automated analysis of eye fundus images is crucial towards facilitating the screening
and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the …
and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the …