T
Tiing Leong Ang
Researcher at National University of Singapore
Publications - 13
Citations - 101
Tiing Leong Ang is an academic researcher from National University of Singapore. The author has contributed to research in topics: Medicine & Odds ratio. The author has an hindex of 3, co-authored 13 publications receiving 38 citations. Previous affiliations of Tiing Leong Ang include SingHealth & Changi General Hospital.
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Journal ArticleDOI
A systematic review and meta-analysis of the COVID-19 associated liver injury.
Yu Jun Wong,Malcolm Turk Hsern Tan,Qishi Zheng,James Weiquan Li,Rajesh Kumar,Kwong Ming Fock,Eng Kiong Teo,Tiing Leong Ang +7 more
TL;DR: A systematic review and meta-analysis to assess the prevalence and degree of liver injury between patients with severe and non-severe COVID-19 and found that CO VID-19 associated liver injury is more common in severe COvid-19 than non- severe COVID -19.
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Efficacy and safety of sofosbuvir/velpatasvir in a real-world chronic hepatitis C genotype 3 cohort.
Yu Jun Wong,Prem Harichander Thurairajah,Prem Harichander Thurairajah,Rajesh Kumar,Jessica Tan,Kwong Ming Fock,Kwong Ming Fock,Ngai Moh Law,Ngai Moh Law,Weiquan Li,Andrew Kwek,Yu Bin Tan,Jingyun Koh,Zheng Cong Lee,Loshini Senthil Kumar,Eng Kiong Teo,Eng Kiong Teo,Tiing Leong Ang,Tiing Leong Ang +18 more
TL;DR: This study aimed to assess the efficacy and safety of SOF/VEL ± RBV in a real‐world setting that included both community and incarcerated GT3 hepatitis C virus (HCV) patients.
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A prospective randomized tandem gastroscopy pilot study of linked color imaging versus white light imaging for detection of upper gastrointestinal lesions.
Clement Wu,Clement Wu,Clement Wu,Vikneswaran Namasivayam,Vikneswaran Namasivayam,James Weiquan Li,James Weiquan Li,Chris Jl Khor,Chris Jl Khor,Kwong Ming Fock,Kwong Ming Fock,Ngai Moh Law,Lai Mun Wang,Lai Mun Wang,Tiing Leong Ang,Tiing Leong Ang +15 more
TL;DR: In this paper, the authors compared the detection rates of upper GI lesions using LCI and WLI, and found that LCI had better detection rates, sensitivity, and specificity for detecting upper GI lesion compared with WLI.
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Artificial intelligence and polyp detection in colonoscopy: Use of a single neural network to achieve rapid polyp localization for clinical use.
James Weiquan Li,James Weiquan Li,Tiongsun Chia,Kwong Ming Fock,Kwong Ming Fock,Kenny De Wei Chong,Yu Jun Wong,Yu Jun Wong,Tiing Leong Ang,Tiing Leong Ang +9 more
TL;DR: In this paper, the authors used a fast object detection algorithm, known as the YOLOv3 algorithm, to achieve real-time polyp detection on a laptop and evaluated and classified the causes of false detections to further improve accuracy.