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Retinal vascular signs and cerebrovascular diseases
Journal of Neuro-Ophthalmology, March 2020 Background Cerebrovascular disease (CeVD), including stroke, is a leading cause of death globally. The retina is an extension of the cerebrum, sharing...
Explainable machine learning approach as a tool to understand factors used to select the refractive surgery technique on the expert level
Translational Vision Science & Technology, February 2020 Purpose Recently, laser refractive surgery options, including laser epithelial keratomileusis, laser in situ keratomileusis, and small...
Reporting on deep learning algorithms in health care
THE LANCET Digital Health, November 2019 Presentation of statistical metrics has been described previously in clinical research, epidemiology, and machine learning; however, in-depth discussion of...
Adopting machine learning to automatically identify candidate patients for corneal refractive surgery
npc | digital medicine, June 2019 Recently, it has become more important to screen candidates that undergo corneal refractive surgery to prevent complications. Until now, there is still no...
Deep learning in medicine. Are we ready?
Annals Academy of Medicine, January 2019 The real-world application of artificial intelligence (AI), machine learning (ML), and deep learning (DL), have generated significant interest throughout the...
Deep Learning Is Effective for Classifying Non-referable versus Referable Eye Condition using Fundus Photographs
ARVO Annual Meeting Abstract, July 2018 Purpose Fundus photographs are the most common imaging modality for screening eye disease. This study aimed to determine whether deep learning could be...
Multi-categorical deep learning neural network to classify retinal images: A pilot study employing a small database
PLOS ONE, November 2017 Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by using computer-aided diagnosis from fundus image has emerged as a new...