AIMC Topic: Ophthalmology

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Artificial Intelligence and Big Data.

Klinische Monatsblatter fur Augenheilkunde Nov 19, 2020
Medical images play an important role in ophthalmology and radiology. Medical image analysis has greatly benefited from the application of "deep learning" techniques in clinical and experimental radiology. Clinical applications and their relevance fo...
Big Data Radiology Ophthalmology Artificial Intelligence Deep Learning
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A global review of publicly available datasets for ophthalmological imaging: barriers to access, usability, and generalisability.

The Lancet. Digital health Oct 1, 2020
Health data that are publicly available are valuable resources for digital health research. Several public datasets containing ophthalmological imaging have been frequently used in machine learning research; however, the total number of datasets cont...
Eye Diseases Metadata Diagnostic Imaging Ophthalmology Humans Datasets as Topic Databases, Factual
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Reporting Guidelines for Artificial Intelligence in Medical Research.

Ophthalmology Sep 10, 2020
Ophthalmology Guidelines as Topic Artificial Intelligence Research Design Biomedical Research Humans
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Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.

Progress in retinal and eye research Sep 6, 2020
The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital in...
Telemedicine Eye Diseases Digital Technology SARS-CoV-2 Global Health Ophthalmology Inventions Humans Artificial Intelligence COVID-19 Delivery of Health Care
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The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology.

The British journal of ophthalmology Aug 14, 2020
Training the modern ophthalmic surgeon is a challenging process. Microsurgical education can benefit from innovative methods to practice surgery in low-risk simulations, assess and refine skills in the operating room through video content analytics, ...
Clinical Competence Virtual Reality Microsurgery Humans Artificial Intelligence Ophthalmology Education, Medical, Graduate
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Artificial intelligence and deep learning in glaucoma: Current state and future prospects.

Progress in brain research Aug 8, 2020
Over the past few years, there has been an unprecedented and tremendous excitement for artificial intelligence (AI) research in the field of Ophthalmology; this has naturally been translated to glaucoma-a progressive optic neuropathy characterized by...
Optic Nerve Ophthalmology Humans Glaucoma Artificial Intelligence Deep Learning
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Economic Challenges of Artificial Intelligence Adoption for Diabetic Retinopathy.

Ophthalmology Jul 25, 2020
Ophthalmology Medicare Diagnostic Techniques, Ophthalmological Artificial Intelligence Sensitivity and Specificity United States Reimbursement Mechanisms Humans Diabetic Retinopathy
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Advances in Telemedicine in Ophthalmology.

Seminars in ophthalmology Jul 9, 2020
Telemedicine is the provision of healthcare-related services from a distance and is poised to move healthcare from the physician's office back into the patient's home. The field of ophthalmology is often at the forefront of technological advances in ...
Betacoronavirus Pneumonia, Viral Mass Screening Ophthalmology Coronavirus Infections Telemedicine Eye Diseases Disease Transmission, Infectious Pandemics COVID-19 SARS-CoV-2 Humans Artificial Intelligence
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Artificial intelligence for anterior segment diseases: Emerging applications in ophthalmology.

The British journal of ophthalmology Jun 12, 2020
With the advancement of computational power, refinement of learning algorithms and architectures, and availability of big data, artificial intelligence (AI) technology, particularly with machine learning and deep learning, is paving the way for 'inte...
Ophthalmology Telemedicine Eye Diseases Anterior Eye Segment Humans Artificial Intelligence Deep Learning
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Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

The Lancet. Digital health Apr 23, 2020
BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effective as human graders in detecting diabetic retinopathy from fundus photographs. We used a cost-minimisation analysis to evaluate the potential savings ...
Diabetic Retinopathy Retina Artificial Intelligence Telemedicine Cost-Benefit Analysis Machine Learning Diagnostic Techniques, Ophthalmological Humans Health Care Costs Photography Physical Examination Middle Aged Image Processing, Computer-Assisted Diabetes Mellitus Aged Adult Mass Screening Sensitivity and Specificity Ophthalmology Decision Trees Singapore Models, Biological
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