Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …

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 …

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 …

Background The ophthalmology field was among the first to adopt artificial intelligence (AI)
in medicine. The availability of digitized ocular images and substantial data have made …

Among the high prevalence of cerebrovascular diseases nowadays, acute ischemic stroke
stands out, representing a significant worldwide health issue with important socio-economic …

Stroke is an emergency in which delays in treatment can lead to significant loss of
neurological function and be fatal. Technologies that increase the speed and accuracy of …

Glaucoma is the leading cause of irreversible blindness and disability worldwide.
Nevertheless, the majority of patients do not know they have the disease and detection of …

Purpose To develop a multimodal model to automate glaucoma detection Design
Development of a machine-learning glaucoma detection model Methods We selected a …

Ophthalmology is one of the major imaging-intensive fields of medicine and thus has
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …

Purpose Timely diagnosis of eye diseases is paramount to obtaining the best treatment
outcomes. OCT and OCT angiography (OCTA) have several advantages that lend …