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Gilbert Lim

Showing results (11-20 of 20) with videos related to

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Current Diabetes Reports|August 2, 2019
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging ApplicationValentina Bellemo, Gilbert Lim, Tyler Hyungtaek Rim, et al.
Iscience|August 9, 2023
Application of a deep learning algorithm in the detection of hip fracturesYan Gao, Nicholas Yock Teck Soh, Nan Liu, 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.
Investigative Ophthalmology & Visual Science|June 25, 2013
Validating retinal fundus image analysis algorithms: issues and a proposalEmanuele Trucco, Alfredo Ruggeri, Thomas Karnowski, et al.
Frontiers in Medicine|July 10, 2023
Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degenerationZhaoran Wang, Gilbert Lim, Wei Yan Ng, 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.
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.
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.
JAMA|December 14, 2017
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With DiabetesDaniel Shu Wei Ting, Carol Yim-Lui Cheung, Gilbert Lim, et al.
Pageof 2

Showing results (11-20 of 20) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 20 results.
Current Diabetes Reports|August 2, 2019
Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging ApplicationValentina Bellemo, Gilbert Lim, Tyler Hyungtaek Rim, et al.
Iscience|August 9, 2023
Application of a deep learning algorithm in the detection of hip fracturesYan Gao, Nicholas Yock Teck Soh, Nan Liu, 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.
Investigative Ophthalmology & Visual Science|June 25, 2013
Validating retinal fundus image analysis algorithms: issues and a proposalEmanuele Trucco, Alfredo Ruggeri, Thomas Karnowski, et al.
Frontiers in Medicine|July 10, 2023
Synthetic artificial intelligence using generative adversarial network for retinal imaging in detection of age-related macular degenerationZhaoran Wang, Gilbert Lim, Wei Yan Ng, 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.
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.
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.
JAMA|December 14, 2017
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With DiabetesDaniel Shu Wei Ting, Carol Yim-Lui Cheung, Gilbert Lim, et al.
Pageof 2