AIMC Topic: Tomography, Optical Coherence

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Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.

Investigative ophthalmology & visual science Jun 3, 2019
PURPOSE: To use supervised machine learning to predict visual function from retinal structure in retinitis pigmentosa (RP) and apply these estimates to CEP290- and NPHP5-associated Leber congenital amaurosis (LCA) to determine the potential for funct...
Adolescent Antigens, Neoplasm Neoplasm Proteins Tomography, Optical Coherence Mutation Young Adult Adult Male Middle Aged Color Vision Defects Retinal Cone Photoreceptor Cells Calmodulin-Binding Proteins Humans Leber Congenital Amaurosis Machine Learning Female Retinitis Pigmentosa Visual Fields Visual Field Tests Cytoskeletal Proteins Genetic Therapy Cell Cycle Proteins
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Computational neural network in melanocytic lesions diagnosis: artificial intelligence to improve diagnosis in dermatology?

European journal of dermatology : EJD Apr 1, 2019
Diagnosis in dermatology is largely based on contextual factors going far beyond the visual and dermoscopic inspection of a lesion. Diagnostic tools such as the different types of dermoscopy, confocal microscopy and optical coherence tomography (OCT)...
Deep Learning Image Processing, Computer-Assisted Microscopy, Confocal Tomography, Optical Coherence Skin Dermatology Melanocytes Humans Neural Networks, Computer Artificial Intelligence Algorithms Melanoma Skin Neoplasms Dermoscopy Sensitivity and Specificity
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[Application of Deep Learning in Early Diagnosis Assistant System of Keratoconus].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
In view of the problem that there is no standard diagnosis for early stage keratoconus disease,at the same time to assist the special examiner and ophthalmologist to make the early diagnosis effectively,the advantages and disadvantages of each testin...
Deep Learning Keratoconus Corneal Topography Tomography, Optical Coherence Early Diagnosis Humans
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Deep Learning Predicts OCT Measures of Diabetic Macular Thickening From Color Fundus Photographs.

Investigative ophthalmology & visual science Mar 1, 2019
PURPOSE: To develop deep learning (DL) models for the automatic detection of optical coherence tomography (OCT) measures of diabetic macular thickening (MT) from color fundus photographs (CFPs).
Diagnostic Techniques, Ophthalmological Macula Lutea Ranibizumab Photography Macular Edema Vascular Endothelial Growth Factor A Image Interpretation, Computer-Assisted False Positive Reactions Intravitreal Injections Randomized Controlled Trials as Topic Predictive Value of Tests Tomography, Optical Coherence Fundus Oculi Humans Diabetic Retinopathy Neural Networks, Computer Retrospective Studies Female Sensitivity and Specificity Male Middle Aged Deep Learning Angiogenesis Inhibitors
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Screening Glaucoma With Red-free Fundus Photography Using Deep Learning Classifier and Polar Transformation.

Journal of glaucoma Mar 1, 2019
UNLABELLED: PRéCIS:: The novel proposed algorithm using deep learning classifier and polar transformation technique can be an economical as well as an effective tool for early detection of glaucomatous RNFL defect.
Area Under Curve Tomography, Optical Coherence Image Interpretation, Computer-Assisted Nerve Fibers Retinal Ganglion Cells Male Middle Aged Deep Learning ROC Curve Ophthalmologic Surgical Procedures Diagnostic Techniques, Ophthalmological Photography Glaucoma, Open-Angle Humans Retrospective Studies Female Adult Intraocular Pressure
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Artificial intelligence in glaucoma.

Current opinion in ophthalmology Mar 1, 2019
PURPOSE OF REVIEW: The use of computers has become increasingly relevant to medical decision-making, and artificial intelligence methods have recently demonstrated significant advances in medicine. We therefore provide an overview of current artifici...
Glaucoma Artificial Intelligence Diagnosis, Computer-Assisted Tomography, Optical Coherence Visual Fields Humans Diagnostic Techniques, Ophthalmological
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Volumetric analysis of breast cancer tissues using machine learning and swept-source optical coherence tomography.

Applied optics Feb 10, 2019
In breast cancer, 20%-30% of cases require a second surgery because of incomplete excision of malignant tissues. Therefore, to avoid the risk of recurrence, accurate detection of the cancer margin by the clinician or surgeons needs some assistance. I...
Reproducibility of Results Breast Neoplasms Humans Carcinoma, Ductal, Breast Image Processing, Computer-Assisted Machine Learning Algorithms Support Vector Machine Female Tomography, Optical Coherence
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Deep Learning for Prediction of AMD Progression: A Pilot Study.

Investigative ophthalmology & visual science Feb 1, 2019
PURPOSE: To develop and assess a method for predicting the likelihood of converting from early/intermediate to advanced wet age-related macular degeneration (AMD) using optical coherence tomography (OCT) imaging and methods of deep learning.
Follow-Up Studies Tomography, Optical Coherence Wet Macular Degeneration Diagnosis, Computer-Assisted Deep Learning Aged Pilot Projects Aged, 80 and over ROC Curve Male Humans Middle Aged Neural Networks, Computer Disease Progression Machine Learning Female
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Using Deep Learning in Automated Detection of Graft Detachment in Descemet Membrane Endothelial Keratoplasty: A Pilot Study.

Cornea Feb 1, 2019
PURPOSE: To evaluate a deep learning-based method to automatically detect graft detachment (GD) after Descemet membrane endothelial keratoplasty (DMEK) in anterior segment optical coherence tomography (AS-OCT).
Female Aged Sensitivity and Specificity Male Middle Aged Humans Deep Learning Neural Networks, Computer Endothelium, Corneal Pilot Projects Descemet Membrane Graft Rejection Descemet Stripping Endothelial Keratoplasty Tomography, Optical Coherence
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Macular Vessel Density and Ganglion Cell/Inner Plexiform Layer Thickness and Their Combinational Index Using Artificial Intelligence.

Journal of glaucoma Sep 1, 2018
PURPOSE: To evaluate the relationship between macular vessel density and ganglion cell to inner plexiform layer thickness (GCIPLT) and to compare their diagnostic performance. We attempted to develop a new combined parameter using an artificial neura...
Middle Aged Tomography, Optical Coherence Humans Aged Case-Control Studies Neural Networks, Computer Nerve Fibers Adult ROC Curve Artificial Intelligence Retinal Ganglion Cells Cross-Sectional Studies Area Under Curve Female Retinal Vessels Intraocular Pressure Glaucoma, Open-Angle Male
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