Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
Artificial intelligence in OCT angiography
Optical coherence tomographic angiography (OCTA) is a non-invasive imaging modality that
provides three-dimensional, information-rich vascular images. With numerous studies …
provides three-dimensional, information-rich vascular images. With numerous studies …
Artificial intelligence in retinal disease: clinical application, challenges, and future directions
Retinal diseases are a leading cause of blindness in developed countries, accounting for
the largest share of visually impaired children, working-age adults (inherited retinal …
the largest share of visually impaired children, working-age adults (inherited retinal …
MEDnet, a neural network for automated detection of avascular area in OCT angiography
Screening and assessing diabetic retinopathy (DR) are essential for reducing morbidity
associated with diabetes. Macular ischemia is known to correlate with the severity of …
associated with diabetes. Macular ischemia is known to correlate with the severity of …
[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 …
Real-time retinal layer segmentation of OCT volumes with GPU accelerated inferencing using a compressed, low-latency neural network
S Borkovkina, A Camino, W Janpongsri… - Biomedical optics …, 2020 - opg.optica.org
Segmentation of retinal layers in optical coherence tomography (OCT) is an essential step in
OCT image analysis for screening, diagnosis, and assessment of retinal disease …
OCT image analysis for screening, diagnosis, and assessment of retinal disease …
Choroideremia: from genetic and clinical phenotyping to gene therapy and future treatments
A Mitsios, AM Dubis… - Therapeutic advances in …, 2018 - journals.sagepub.com
Choroideremia is an X-linked inherited chorioretinal dystrophy leading to blindness by late
adulthood. Choroideremia is caused by mutations in the CHM gene which encodes Rab …
adulthood. Choroideremia is caused by mutations in the CHM gene which encodes Rab …
Prediction of visual impairment in retinitis pigmentosa using deep learning and multimodal fundus images
Background The efficiency of clinical trials for retinitis pigmentosa (RP) treatment is limited
by the screening burden and lack of reliable surrogate markers for functional end points …
by the screening burden and lack of reliable surrogate markers for functional end points …
A systematic review of artificial intelligence applications used for inherited retinal disease management
Nowadays, Artificial Intelligence (AI) and its subfields, Machine Learning (ML) and Deep
Learning (DL), are used for a variety of medical applications. It can help clinicians track the …
Learning (DL), are used for a variety of medical applications. It can help clinicians track the …
Beyond performance metrics: automatic deep learning retinal OCT analysis reproduces clinical trial outcome
Purpose To validate the efficacy of a fully automatic, deep learning–based segmentation
algorithm beyond conventional performance metrics by measuring the primary outcome of a …
algorithm beyond conventional performance metrics by measuring the primary outcome of a …