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Carol Cheung on Muck Rack

Carol Cheung

Singapore
As seen in: Nature, Wiley Online Library, BMJ Open Diabetes Research & Care, Journal of Clinical Pathology, China Daily (English), JAMA (The Journal of the American Medical Association), JAMA Network, JAMA: Journal of the American Medical Association, British Journal of Ophthalmology, The Lancet and
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Articles

Diagnostic Performance of Prespecified OCT Rules for Glaucomatous Optic Neuropathy in Nonpathologic Myopia

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By Kangjie Kong, Jingwen Jiang, Ying Han, Rajiv Raman, Henry Chen, Ruyue Shen, Evan Chen, Po-Han Yeh, Xiao Ling, Fengbin Lin, Yunhe Song, Raksha Sharma, Rupesh Agrawal, Jost B. Jonas, Linda M. Zangwill, Robert N. Weinreb, Clement C Tham, Carol Cheung, Xiulan Zhang, Jill Liang, Poemen P. M. Chan, Reni Philip
| JAMA Network Verified
Diagnostic Performance of Prespecified OCT Rules for Glaucomatous Optic Neuropathy in Nonpathologic Myopia Key Points Question Can prespecified optical coherence tomography (OCT) rules accurately detect glaucoma in eyes with nonpathologic moderate and high myopia (spherical equivalent ≤−3.0 diopters or axial length ≥24.5 mm, excluding staphyloma or severe maculopathy)?
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AI-Driven Oculomics—The Brain-Retina Connection

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By Carol Cheung, Vincent C. T. Mok
| JAMA Network Verified
Brain health is a rapidly expanding interdisciplinary field that requires optimization across the life course.1 The late manifestations of impaired brain health include common neurodegenerative and cerebrovascular disorders, such as Alzheimer disease (AD) or stroke. Accumulating evidence indicates that early detection and timely intervention can prevent or delay irreversible decline.
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An AI-Based OCT System to Detect Diabetic Macular Edema : A Prospective Validation and Noninferiority Randomized Clinical Trial

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By Shuyi Zhang, Anran Ran, Jiaying Zhou, Anni Ling, Kaiser Sham, Yu Zhang, Ziqi Tang, Truong Nguyen, Trường Nguyễn, Dawei Yang, Hunter Yuen, Victor Chan, Mary Ho, Julia Chan Verified, Claire Chow, Stephanie Cheung, Anthony Lai, Cherie Wong, Vivian Hui, Wilson Yip, Alvin Young, Risa Ozaki, Andrea O. Y. Luk, Juliana Chan, Daniel Wong, Xi Wang, Pheng-Ann Heng, Haotian Lin, Sobha Sivaprasad, Kenneth Li Verified, Carmen Chan, Clement C Tham, Timothy Lai, Simon K. H. Szeto, Carol Cheung, Naiman Lam, Thomas C. H. Lam, Charlene C. L. Yim, Matthew C. W. Lam, Amy H. Y. Yu, Andrew C. Y. Mak, Noel C. Y. Chan, Kit-man Loo, Pangfai Chan, Matthew M. H. Luk, Loretta K. P. Lai, Jasmine Shiu
| JAMA: Journal of the American Medical Association Verified
An AI-Based OCT System to Detect Diabetic Macular Edema: A Prospective Validation and Noninferiority Randomized Clinical Trial Key Points Question Can an artificial intelligence (AI)–based optical coherence tomography (AI-OCT) system to detect diabetic macular edema (DME) improve referral performance of diabetic retinopathy screening?
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