AIMC Topic: Eye Diseases

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Deep learning for ultra-widefield imaging: a scoping review.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jul 20, 2022
PURPOSE: This article is a scoping review of published and peer-reviewed articles using deep-learning (DL) applied to ultra-widefield (UWF) imaging. This study provides an overview of the published uses of DL and UWF imaging for the detection of opht...
Deep Learning Eye Diseases Retinal Detachment Humans Diabetic Retinopathy Research Design
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Research Progress of Artificial Intelligence Image Analysis in Systemic Disease-Related Ophthalmopathy.

Disease markers Jun 24, 2022
The eye is one of the most important organs of the human body. Eye diseases are closely related to other systemic diseases, both of which influence each other. Numerous systemic diseases lead to special clinical manifestations and complications in th...
Humans Diabetic Retinopathy Artificial Intelligence Deep Learning Eye Diseases
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BFENet: A two-stream interaction CNN method for multi-label ophthalmic diseases classification with bilateral fundus images.

Computer methods and programs in biomedicine Mar 11, 2022
BACKGROUND AND OBJECTIVE: Early fundus screening and timely treatment of ophthalmology diseases can effectively prevent blindness. Previous studies just focus on fundus images of single eye without utilizing the useful relevant information of the lef...
Fundus Oculi Eye Diseases Diagnostic Techniques, Ophthalmological Humans Neural Networks, Computer
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Foundational Considerations for Artificial Intelligence Using Ophthalmic Images.

Ophthalmology Aug 31, 2021
IMPORTANCE: The development of artificial intelligence (AI) and other machine diagnostic systems, also known as software as a medical device, and its recent introduction into clinical practice requires a deeply rooted foundation in bioethics for cons...
Humans Diagnostic Imaging Translational Research, Biomedical Eye Diseases Artificial Intelligence Software Bioethics Optical Imaging
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Identification of disease genes and assessment of eye-related diseases caused by disease genes using JMFC and GDLNN.

Computer methods in biomechanics and biomedical engineering Aug 12, 2021
Early detection of disease genes helps humans to recover from certain gene-related diseases, like genetic eye diseases. This work identifies the possibility of eye diseasesfor the disease genes utilizing a Gaussian-activation function (G)-centric dee...
Eye Diseases Neural Networks, Computer Algorithms Cluster Analysis Humans
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Economic Evaluations of Artificial Intelligence in Ophthalmology.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) Jul 13, 2021
Artificial intelligence (AI) is expected to cause significant medical quality enhancements and cost-saving improvements in ophthalmology. Although there has been a rapid growth of studies on AI in the recent years, real-world adoption of AI is still ...
Algorithms Ophthalmology Cost-Benefit Analysis Eye Diseases Humans Artificial Intelligence
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Deep learning algorithms for automatic detection of pterygium using anterior segment photographs from slit-lamp and hand-held cameras.

The British journal of ophthalmology Jul 9, 2021
BACKGROUND/AIMS: To evaluate the performances of deep learning (DL) algorithms for detection of presence and extent pterygium, based on colour anterior segment photographs (ASPs) taken from slit-lamp and hand-held cameras.
Eye Diseases Pterygium Deep Learning Area Under Curve Humans Algorithms
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Ophthalmology and the emergence of artificial intelligence.

The Medical journal of Australia Feb 14, 2021
Eye Diseases Diagnostic Techniques, Ophthalmological Humans Artificial Intelligence Ophthalmology
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Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.

American journal of ophthalmology Feb 9, 2021
PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL];...
Phakic Intraocular Lenses Astigmatism Lens Implantation, Intraocular Humans Machine Learning Retrospective Studies Female Adolescent Dilatation, Pathologic Eye Diseases Young Adult Child Male Biometry Adult Tomography, Optical Coherence Myopia Anterior Eye Segment
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Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.

Ophthalmology Jan 21, 2021
PURPOSE: Various immune mediators have crucial roles in the pathogenesis of intraocular diseases. Machine learning can be used to automatically select and weigh various predictors to develop models maximizing predictive power. However, these techniqu...
Intraocular Lymphoma Retinal Necrosis Syndrome, Acute Aged, 80 and over Inflammation Mediators Glaucoma, Open-Angle Area Under Curve Eye Diseases Adult Retinal Detachment Immunoassay Endophthalmitis Female Cross-Sectional Studies Aqueous Humor Flow Cytometry ROC Curve Reproducibility of Results Male Humans Interleukins Aged Middle Aged Machine Learning Diagnosis, Computer-Assisted
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