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 …
Optical coherence tomography and glaucoma
A Geevarghese, G Wollstein, H Ishikawa… - Annual review of …, 2021 - annualreviews.org
Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …
progressive optic neuropathy that causes irreversible blindness. Optical coherence …
Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries
R Alizadehsani, MJ Hosseini, A Khosravi… - Computer methods and …, 2018 - Elsevier
Background and objective Cardiovascular diseases are an extremely widespread sickness
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …
and account for 17 million deaths in the world per annum. Coronary artery disease (CAD) is …
Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition
X Yang, D Zhao, F Yu, AA Heidari, Y Bano… - Computers in Biology …, 2022 - Elsevier
Intradialytic hypotension (IDH) is a serious complication of hemodialysis (HD), with an
incidence of more than 20%. IDH induces ischemic organ damage and even reduces the …
incidence of more than 20%. IDH induces ischemic organ damage and even reduces the …
Assessment of angle closure disease in the age of artificial intelligence: A review
Primary angle closure glaucoma is a visually debilitating disease that is under-detected
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …
Segmentation and quantification for angle-closure glaucoma assessment in anterior segment OCT
Angle-closure glaucoma is a major cause of irreversible visual impairment and can be
identified by measuring the anterior chamber angle (ACA) of the eye. The ACA can be …
identified by measuring the anterior chamber angle (ACA) of the eye. The ACA can be …
Combination of clinical and multiresolution features for glaucoma detection and its classification using fundus images
Glaucoma is a neuro-degenerative disorder of the eye and it leads to permanent blindness
when untreated or detected in the later stage. The main cause of glaucoma is the damage of …
when untreated or detected in the later stage. The main cause of glaucoma is the damage of …
Angle-closure detection in anterior segment OCT based on multilevel deep network
Irreversible visual impairment is often caused by primary angle-closure glaucoma, which
could be detected via anterior segment optical coherence tomography (AS-OCT). In this …
could be detected via anterior segment optical coherence tomography (AS-OCT). In this …
Automated classification of diabetic retinopathy through reliable feature selection
Diabetic retinopathy (DR) is a complication of diabetes mellitus that damages the blood
vessels in the retina. DR is considered a serious vision-threatening impediment that most …
vessels in the retina. DR is considered a serious vision-threatening impediment that most …
[HTML][HTML] Artificial intelligence and optical coherence tomography imaging
R Kapoor, BT Whigham, LA Al-Aswad - Asia-Pacific Journal of …, 2019 - Elsevier
This review article aimed to highlight the application and use of artificial intelligence (AI) in
optical coherence tomography (OCT) imaging in ophthalmology. Artificial intelligence …
optical coherence tomography (OCT) imaging in ophthalmology. Artificial intelligence …