AIMC Topic: Optic Nerve Diseases

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Deep Learning and Transfer Learning for Optic Disc Laterality Detection: Implications for Machine Learning in Neuro-Ophthalmology.

Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society Jun 1, 2020
BACKGROUND: Deep learning (DL) has demonstrated human expert levels of performance for medical image classification in a wide array of medical fields, including ophthalmology. In this article, we present the results of our DL system designed to deter...
Machine Learning Algorithms Deep Learning Humans Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Neurology ROC Curve Ophthalmology Optic Disk
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Artificial intelligence for detection of optic disc abnormalities.

Current opinion in neurology Feb 1, 2020
PURPOSE OF REVIEW: The aim of this review is to highlight novel artificial intelligence-based methods for the detection of optic disc abnormalities, with particular focus on neurology and neuro-ophthalmology.
Optic Nerve Diseases Ophthalmoscopy Humans Optic Nerve Artificial Intelligence Fundus Oculi Optic Disk
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Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.

JAMA ophthalmology Dec 1, 2019
IMPORTANCE: A deep learning system (DLS) that could automatically detect glaucomatous optic neuropathy (GON) with high sensitivity and specificity could expedite screening for GON.
Photography Glaucoma, Open-Angle Male Optic Nerve Diseases Deep Learning Female False Positive Reactions Humans Predictive Value of Tests ROC Curve Sensitivity and Specificity Diagnostic Techniques, Ophthalmological Databases, Factual Area Under Curve Cross-Sectional Studies Fundus Oculi
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Finding Glaucoma in Color Fundus Photographs Using Deep Learning.

JAMA ophthalmology Dec 1, 2019
Glaucoma Deep Learning Optic Nerve Diseases Diagnostic Techniques, Ophthalmological Photography Humans
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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...
Adult Sensitivity and Specificity Intraocular Pressure Retrospective Studies Female Aged Deep Learning ROC Curve Area Under Curve Male Middle Aged Diagnosis, Computer-Assisted Humans Glaucoma, Open-Angle Diagnostic Techniques, Ophthalmological Photography Ophthalmologists Observer Variation Optic Disk Optic Nerve Diseases
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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...
Machine Learning Aged Oral Health Aged, 80 and over Middle Aged Humans Optic Nerve Diseases Periodontal Diseases Adolescent Physical Examination Gingivitis Young Adult Eye Diseases Health Status Joints Adult Male
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Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression.

Investigative ophthalmology & visual science Jun 1, 2018
PURPOSE: To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progres...
Retinal Ganglion Cells Intraocular Pressure Visual Field Tests Female Glaucoma, Open-Angle Tomography, Optical Coherence Aged Humans Optic Nerve Diseases Tonometry, Ocular Male Nerve Fibers Adult Retrospective Studies Optic Disk Middle Aged Disease Progression Unsupervised Machine Learning Principal Component Analysis
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