AIMC Topic: Ophthalmologists

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Retinal Specialist versus Artificial Intelligence Detection of Retinal Fluid from OCT: Age-Related Eye Disease Study 2: 10-Year Follow-On Study.

Ophthalmology Jun 27, 2020
PURPOSE: To evaluate the performance of retinal specialists in detecting retinal fluid presence in spectral domain OCT (SD-OCT) scans from eyes with age-related macular degeneration (AMD) and compare performance with an artificial intelligence algori...
Humans Artificial Intelligence Prospective Studies Follow-Up Studies Tomography, Optical Coherence Macular Degeneration Ophthalmologists Subretinal Fluid Female Aged, 80 and over Male Time Factors
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Deep Learning Automated Detection of Reticular Pseudodrusen from Fundus Autofluorescence Images or Color Fundus Photographs in AREDS2.

Ophthalmology May 21, 2020
PURPOSE: To develop deep learning models for detecting reticular pseudodrusen (RPD) using fundus autofluorescence (FAF) images or, alternatively, color fundus photographs (CFP) in the context of age-related macular degeneration (AMD).
Retinal Drusen Datasets as Topic Optical Imaging Fluorescein Angiography Ophthalmologists Humans Aged, 80 and over Deep Learning Female Sensitivity and Specificity ROC Curve Reproducibility of Results Male Area Under Curve Aged Middle Aged Macular Degeneration
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Validation of a Deep Learning Algorithm for Diabetic Retinopathy.

Telemedicine journal and e-health : the official journal of the American Telemedicine Association Nov 4, 2019
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Diabetic Retinopathy Algorithms Sensitivity and Specificity Deep Learning Humans Diabetes Mellitus Mass Screening Diagnostic Techniques, Ophthalmological Ophthalmologists
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Deep Learning and Glaucoma Specialists: The Relative Importance of Optic Disc Features to Predict Glaucoma Referral in Fundus Photographs.

Ophthalmology Sep 24, 2019
PURPOSE: To develop and validate a deep learning (DL) algorithm that predicts referable glaucomatous optic neuropathy (GON) and optic nerve head (ONH) features from color fundus images, to determine the relative importance of these features in referr...
Nerve Fibers Optic Disk Retinal Ganglion Cells Optic Nerve Diseases ROC Curve Area Under Curve Referral and Consultation Datasets as Topic Ophthalmologists Glaucoma, Open-Angle Specialization Humans Retrospective Studies Female Aged Sensitivity and Specificity Male Middle Aged Deep Learning
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An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence.

Ophthalmology Sep 21, 2019
Peer Review, Research Eye Diseases Neural Networks, Computer Reference Standards Humans Artificial Intelligence Ophthalmologists Biomedical Research Image Processing, Computer-Assisted
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Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs.

Clinical & experimental ophthalmology Jul 25, 2019
IMPORTANCE: Detection of early onset neovascular age-related macular degeneration (AMD) is critical to protecting vision.
Humans Fundus Oculi Photography ROC Curve False Positive Reactions Algorithms Ophthalmologists Visual Acuity Fluorescein Angiography Retrospective Studies Male Choroidal Neovascularization Wet Macular Degeneration Predictive Value of Tests Female Middle Aged Area Under Curve Reproducibility of Results Diagnosis, Computer-Assisted Sensitivity and Specificity Deep Learning
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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.

Eye (London, England) Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Humans Glaucoma, Open-Angle Optometrists Diagnosis, Computer-Assisted Deep Learning Optic Nerve Diseases Artificial Intelligence Clinical Competence Europe False Positive Reactions Retrospective Studies ROC Curve Reproducibility of Results Photography Predictive Value of Tests Sensitivity and Specificity Ophthalmologists Observer Variation Optic Disk
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Robot-assisted tremor control for performance enhancement of retinal microsurgeons.

The British journal of ophthalmology Dec 20, 2018
Pars plana vitrectomy is a challenging, minimally invasive microsurgical procedure due to its intrinsic manoeuvres and physiological limits that constrain human capability. An important human limitation is physiological hand tremor, which can signifi...
Ophthalmologists Tremor Humans Robotics Microsurgery Vitrectomy
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Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.

Ophthalmology Dec 13, 2018
PURPOSE: To understand the impact of deep learning diabetic retinopathy (DR) algorithms on physician readers in computer-assisted settings.
Reference Standards Photography Humans Ophthalmologists Male Diabetic Retinopathy Algorithms Diagnosis, Computer-Assisted Female Deep Learning Reproducibility of Results ROC Curve Sensitivity and Specificity
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Introduction to Machine Learning for Ophthalmologists.

Seminars in ophthalmology Nov 30, 2018
New diagnostic and imaging techniques generate such an incredible amount of data that it is often a challenge to extract all information that could be possibly useful in clinical practice. Machine Learning techniques emerged as an objective tool to a...
Humans Neural Networks, Computer Machine Learning Ophthalmologists
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