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Gui-shuang Ying

As seen in: Nature, BMJ Open, Frontiers, Taylor & Francis Online, JAMA (The Journal of the American Medical Association), JAMA Network, British Journal of Ophthalmology, Canadian Journal of Infectious Diseases & Medical Microbiology, Dove Medical Press
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Articles

Deep Learning–Derived Retinal Age Detects Cognitive Impairment

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By Kenneth Minyong Um, Gui-shuang Ying, Benjamin Kim
| ophthalmologyscience.org
Keywords Retinal age Deep learning Cognitive impairment Fundus photography Biomarker.
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Diagnostic Accuracy of a Retinal Birefringence Scanning Device Compared With a Traditional Autorefraction Device

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By Julius T Oatts, Patrick Takla, Ha-Neul Yu, Natan Hekmatjah, Maanasa Indaram, Jocelyn He, Gui-shuang Ying, Jeremy Keenan
| JAMA Network Verified
Supplement 1. eTable 1. Manufacturer-Recommended Spot Instrument Referral Criteria eTable 2. Index Test Results Based on Failure Criteria eTable 3. Age-Stratified Diagnostic Accuracy of Spot and Blinq Supplement 2. Figure 1. Standards for Reporting of Diagnostic Accuracy Studies (STARD) Flow Diagram (opens in new tab) VSRE indicates visually significant refractive error. Figure 2.
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Multi-Source Machine Learning Model for Detecting Referral-Warranted Retinopathy of Prematurity

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By Graham E. Quinn, Gil Binenbaum, Gui-shuang Ying
| ophthalmologyscience.org
Keywords Machine learning model retinopathy of prematurity retinal images multi-source model referral-warranted retinopathy of prematurity screening risk stratification Introduction Retinopathy of Prematurity (ROP) is a vasoproliferative retinal disorder that affects preterm infants, characterized by abnormal retinal vascular development that can lead to severe visual impairment.1 Timely ROP diagnosis is crucial, because severe cases require intervention with retinal ablative surgery or...
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