AIMC Topic: Eye Diseases
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Fundamentals of artificial intelligence for ophthalmologists.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: As artificial intelligence continues to develop new applications in ophthalmic image recognition, we provide here an introduction for ophthalmologists and a primer on the mechanisms of deep learning systems.
[Potential of methods of artificial intelligence for quality assurance].
Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft
Apr 1, 2020
BACKGROUND: Procedures with artificial intelligence (AI), such as deep neural networks, show promising results in automatic analysis of ophthalmological imaging data.
A(eye): A Review of Current Applications of Artificial Intelligence and Machine Learning in Ophthalmology.
International ophthalmology clinics
Jan 1, 2020
Artificial intelligence for pediatric ophthalmology.
Current opinion in ophthalmology
Sep 1, 2019
PURPOSE OF REVIEW: Despite the impressive results of recent artificial intelligence applications to general ophthalmology, comparatively less progress has been made toward solving problems in pediatric ophthalmology using similar techniques. This art...
Automated Process Incorporating Machine Learning Segmentation and Correlation of Oral Diseases with Systemic Health.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automated process that combines intraoral fluorescent porphyrin biomarker imaging, clinical examinations and machine lea...
Artificial intelligence in ophthalmology: Is it just hype with no substance or the real McCoy.
Indian journal of ophthalmology
Jul 1, 2019
Robotics and ophthalmology: Are we there yet?
Indian journal of ophthalmology
Jul 1, 2019
Ophthalmology is a field that is now seeing the integration of robotics in its surgical procedures and interventions. Assistance facilitated by robots offers substantial improvements in terms of movement control, tremor cancellation, enhanced visuali...
Laterality Classification of Fundus Images Using Interpretable Deep Neural Network.
Journal of digital imaging
Dec 1, 2018
In this paper, we aimed to understand and analyze the outputs of a convolutional neural network model that classifies the laterality of fundus images. Our model not only automatizes the classification process, which results in reducing the labors of ...
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.
JAMA
Dec 12, 2017
IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases.
Multiple ocular diseases detection based on joint sparse multi-task learning.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jan 1, 2015
In this paper, we present a multiple ocular diseases detection scheme based on joint sparse multi-task learning. Glaucoma, Pathological Myopia (PM), and Age-related Macular Degeneration (AMD) are three major causes of vision impairment and blindness ...
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