AIMC Topic: Eye Diseases

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Current state and future prospects of artificial intelligence in ophthalmology: a review.

Clinical & experimental ophthalmology Sep 30, 2018
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has broad application across many medical fields, it will have particular utility in ophthalmology and will dramatically change the diagnostic and ...
Biomedical Research Deep Learning Ophthalmology Disease Management Eye Diseases Humans Artificial Intelligence
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Granulomatosis with polyangiitis in Northeastern Brazil: study of 25 cases and review of the literature.

Advances in rheumatology (London, England) Jun 28, 2018
BACKGROUND: Little has been published about the epidemiology of Granulomatosis with polyangiitis (GPA) in South America, especially in the intertropical zone, and no epidemiological data from Brazil are available. The purpose of the present study was...
Heart Diseases Cross-Sectional Studies Granulomatosis with Polyangiitis Delayed Diagnosis Male Adrenal Cortex Hormones Nervous System Diseases Eye Diseases Middle Aged Arthritis Acute Kidney Injury Creatinine Gastrointestinal Diseases Humans Brazil Skin Diseases Female Retrospective Studies Proteinuria Adult Disease Progression Lung Diseases
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Deep learning in ophthalmology: a review.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie May 30, 2018
Deep learning is an emerging technology with numerous potential applications in Ophthalmology. Deep learning tools have been applied to different diagnostic modalities including digital photographs, optical coherence tomography, and visual fields. Th...
Humans Diagnosis, Computer-Assisted Diagnostic Techniques, Ophthalmological Deep Learning Ophthalmology Eye Diseases
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Technology watch: AI can diagnose diabetic retinopathy.

Nature reviews. Endocrinology Dec 22, 2017
Eye Diseases Diabetic Retinopathy Deep Learning Diabetes Mellitus, Type 2 Humans
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Automatic diagnosis of imbalanced ophthalmic images using a cost-sensitive deep convolutional neural network.

Biomedical engineering online Nov 21, 2017
BACKGROUND: Ocular images play an essential role in ophthalmological diagnoses. Having an imbalanced dataset is an inevitable issue in automated ocular diseases diagnosis; the scarcity of positive samples always tends to result in the misdiagnosis of...
Software Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Neural Networks, Computer Automation Diagnostic Imaging Cost-Benefit Analysis Eye Diseases
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Utilization of a 3D printer to fabricate boluses used for electron therapy of skin lesions of the eye canthi.

Journal of applied clinical medical physics Nov 30, 2016
This work describes the use of 3D printing technology to create individualized boluses for patients treated with electron beam therapy for skin lesions of the eye canthi. It aimed to demonstrate the effectiveness of 3D-printed over manually fabricate...
Carcinoma, Squamous Cell Printing, Three-Dimensional Skin Diseases Electrons Quality Assurance, Health Care Eye Diseases Humans Carcinoma, Basal Cell Radiotherapy Dosage
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Machine Learning Techniques in Clinical Vision Sciences.

Current eye research Jun 30, 2016
This review presents and discusses the contribution of machine learning techniques for diagnosis and disease monitoring in the context of clinical vision science. Many ocular diseases leading to blindness can be halted or delayed when detected and tr...
Vision, Ocular Diagnostic Techniques, Ophthalmological Machine Learning Algorithms Sensitivity and Specificity Monitoring, Physiologic Multimodal Imaging Eye Diseases Humans
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An in silico expert system for the identification of eye irritants.

SAR and QSAR in environmental research May 13, 2015
This report describes development of an in silico, expert rule-based method for the classification of chemicals into irritants or non-irritants to eye, as defined by the Draize test. This method was developed to screen data-poor cosmetic ingredient c...
Chemical Phenomena Toxicology Quantitative Structure-Activity Relationship Animal Testing Alternatives Irritants Cosmetics Expert Systems Eye Diseases Computer Simulation Reproducibility of Results
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Ocular complications in robotic-assisted prostatectomy: a review of pathophysiology and prevention.

Minerva anestesiologica Jul 3, 2014
Ocular complications reported after robotic-assisted laparoscopic radical prostatectomy (RALP) include corneal abrasion and ischemic optic neuropathy. While corneal abrasions often resolve without permanent sequelae, scarring or infection can occasio...
Eye Diseases Prostatectomy Postoperative Complications Robotics Humans Laparoscopy
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An Approach to Predict Intraocular Diseases by Machine Learning Based on Vitreous Humor Immune Mediator Profile.

Investigative ophthalmology & visual science Mar 3, 2025
PURPOSE: This study aimed to elucidate whether machine learning algorithms applied to vitreous levels of immune mediators predict the diagnosis of 12 representative intraocular diseases, and identify immune mediators driving the predictive power of m...
Biomarkers Female Aged Machine Learning Algorithms Cytokines ROC Curve Eye Diseases Vitreous Body Adult Male Humans Middle Aged
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