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Wynne Hsu

Showing results (41-50 of 53) with videos related to

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Brain Communications|August 31, 2022
Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementiaCarol Y Cheung, Win Lee Edwin Wong, Saima Hilal, et al.
JMIR Medical Informatics|June 17, 2018
Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in SingaporeAntony Hardjojo, Arunan Gunachandran, Long Pang, et al.
The Lancet. Digital Health|December 17, 2020
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populationsCharumathi Sabanayagam, Dejiang Xu, Daniel S W Ting, et al.
American Journal of Ophthalmology|October 11, 2022
Risk of Normal Tension Glaucoma Progression From Automated Baseline Retinal-Vessel Caliber Analysis: A Prospective Cohort StudyTimothy P H Lin, Herbert Y H Hui, Annie Ling, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic studyDaniel S W Ting, Carol Y Cheung, Quang Nguyen, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Communications Medicine|October 26, 2023
Influence of secondhand smoke exposure on the retinal vasculature of children in Hong KongCarol Y Cheung, Xiu Juan Zhang, Hei-Nga Chan, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
Journal of the American Medical Informatics Association : JAMIA|September 2, 2023
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetesBjorn Kaijun Betzler, Evelyn Yi Lyn Chee, Feng He, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
Pageof 6

Showing results (41-50 of 53) with videos related to

Sort By:
Pageof 6
Brain Communications|August 31, 2022
Deep-learning retinal vessel calibre measurements and risk of cognitive decline and dementiaCarol Y Cheung, Win Lee Edwin Wong, Saima Hilal, et al.
JMIR Medical Informatics|June 17, 2018
Validation of a Natural Language Processing Algorithm for Detecting Infectious Disease Symptoms in Primary Care Electronic Medical Records in SingaporeAntony Hardjojo, Arunan Gunachandran, Long Pang, et al.
The Lancet. Digital Health|December 17, 2020
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populationsCharumathi Sabanayagam, Dejiang Xu, Daniel S W Ting, et al.
American Journal of Ophthalmology|October 11, 2022
Risk of Normal Tension Glaucoma Progression From Automated Baseline Retinal-Vessel Caliber Analysis: A Prospective Cohort StudyTimothy P H Lin, Herbert Y H Hui, Annie Ling, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic studyDaniel S W Ting, Carol Y Cheung, Quang Nguyen, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Communications Medicine|October 26, 2023
Influence of secondhand smoke exposure on the retinal vasculature of children in Hong KongCarol Y Cheung, Xiu Juan Zhang, Hei-Nga Chan, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
Journal of the American Medical Informatics Association : JAMIA|September 2, 2023
Deep learning algorithms to detect diabetic kidney disease from retinal photographs in multiethnic populations with diabetesBjorn Kaijun Betzler, Evelyn Yi Lyn Chee, Feng He, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
Pageof 6