AIMC Topic: Ophthalmology
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Interpretation of artificial intelligence studies for the ophthalmologist.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: The use of artificial intelligence (AI) in ophthalmology has increased dramatically. However, interpretation of these studies can be a daunting prospect for the ophthalmologist without a background in computer or data science. This...
Delivering personalized medicine in retinal care: from artificial intelligence algorithms to clinical application.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: To review the current status of artificial intelligence systems in ophthalmology and highlight the steps required for clinical translation of artificial intelligence into personalized health care (PHC) in retinal disease.
Accelerating ophthalmic artificial intelligence research: the role of an open access data repository.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: Artificial intelligence has already provided multiple clinically relevant applications in ophthalmology. Yet, the explosion of nonstandardized reporting of high-performing algorithms are rendered useless without robust and streamli...
Artificial intelligence in ophthalmology during COVID-19 and in the post COVID-19 era.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: To highlight artificial intelligence applications in ophthalmology during the COVID-19 pandemic that can be used to: describe ocular findings and changes correlated with COVID-19; extract information from scholarly articles on SARS...
Big data requirements for artificial intelligence.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: To summarize how big data and artificial intelligence technologies have evolved, their current state, and next steps to enable future generations of artificial intelligence for ophthalmology.
Commentary: Artificial intelligence in ophthalmology: Potential challenges and way ahead.
Indian journal of ophthalmology
Jul 1, 2020
Commentary: Artificial intelligence for everything: Can we trust it?
Indian journal of ophthalmology
Jul 1, 2020
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...
[Potential of methods of artificial intelligence for quality assurance].
Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft
Apr 1, 2020
BACKGROUND: Procedures with artificial intelligence (AI), such as deep neural networks, show promising results in automatic analysis of ophthalmological imaging data.
Artificial Intelligence and Ophthalmology.
Turkish journal of ophthalmology
Mar 5, 2020
Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This review discusses developments and potential practices regarding the use of artificial intelligence in the field of ophthalmology, and the related topic ...
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