AIMC Topic: Ophthalmologists

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Deep Learning Techniques for Diabetic Retinopathy Detection.

Current medical imaging Jan 1, 2020
Diabetes occurs due to the excess of glucose in the blood that may affect many organs of the body. Elevated blood sugar in the body causes many problems including Diabetic Retinopathy (DR). DR occurs due to the mutilation of the blood vessels in the ...
Humans Diabetic Retinopathy Diabetes Mellitus Retina Ophthalmologists Deep Learning Hyperglycemia
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Evaluation of a Deep Learning System For Identifying Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal of glaucoma Dec 1, 2019
PRECIS: Pegasus outperformed 5 of the 6 ophthalmologists in terms of diagnostic performance, and there was no statistically significant difference between the deep learning system and the "best case" consensus between the ophthalmologists. The agreem...
Aged Adult Retrospective Studies Female Male Middle Aged Diagnosis, Computer-Assisted Sensitivity and Specificity Intraocular Pressure Humans Ophthalmologists Glaucoma, Open-Angle Diagnostic Techniques, Ophthalmological Optic Disk Area Under Curve Deep Learning Photography Optic Nerve Diseases ROC Curve Observer Variation
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Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration.

JAMA ophthalmology Nov 1, 2018
This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Macular Degeneration False Positive Reactions Ophthalmologists Deep Learning Predictive Value of Tests Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Reproducibility of Results Aged Neural Networks, Computer
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Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.

JAMA Dec 13, 2016
IMPORTANCE: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of the...
Humans Female Sensitivity and Specificity Ophthalmologists Male Observer Variation Fundus Oculi Machine Learning Middle Aged Diabetic Retinopathy Photography Macular Edema Algorithms Neural Networks, Computer
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Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.

Investigative ophthalmology & visual science Oct 1, 2016
PURPOSE: To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-o...
Follow-Up Studies Neural Networks, Computer Retrospective Studies Ophthalmologists Female Algorithms Retina Male Middle Aged Humans Diabetic Retinopathy Automation Diagnostic Techniques, Ophthalmological Diagnosis, Computer-Assisted ROC Curve
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