[HTML][HTML] Healthcare Big Data in Hong Kong: development and implementation of artificial intelligence-enhanced predictive models for risk stratification

G Tse, Q Lee, OHI Chou, CT Chung, S Lee… - Current Problems in …, 2023 - Elsevier
Routinely collected electronic health records (EHRs) data contain a vast amount of valuable
information for conducting epidemiological studies. With the right tools, we can gain insights …

Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia

RX Guo, X Tian, G Bazoukis, G Tse… - Pacing and Clinical …, 2024 - Wiley Online Library
The rapid growth in computational power, sensor technology, and wearable devices has
provided a solid foundation for all aspects of cardiac arrhythmia care. Artificial intelligence …

Predictive value of neutrophil‐to‐lymphocyte ratio for atrial fibrillation and stroke in type 2 diabetes mellitus: The Hong Kong Diabetes Study

C Chang, J Zhou, OHI Chou, J Chan… - Endocrinology …, 2023 - Wiley Online Library
Introduction Neutrophil‐to‐lymphocyte ratio (NLR) is a routinely available biomarker that
reflects systemic inflammation. The study evaluated the predictive value of NLR for ischemic …

[HTML][HTML] Automated electrocardiogram analysis identifies novel predictors of ventricular arrhythmias in Brugada syndrome

G Tse, S Lee, A Li, D Chang, G Li, J Zhou… - Frontiers in …, 2021 - frontiersin.org
Background: Patients suffering from Brugada syndrome (BrS) are at an increased risk of life-
threatening ventricular arrhythmias. Whilst electrocardiographic (ECG) variables have been …

Characteristics and outcomes of heart failure with recovered left ventricular ejection fraction

X Zhang, Y Sun, Y Zhang, F Chen, M Dai, J Si… - ESC Heart …, 2021 - Wiley Online Library
Aims There is an emerging interest in elucidating the natural history and prognosis for
patients with heart failure with reduced ejection fraction (HFrEF) in whom left ventricular …

P‐wave durations from automated electrocardiogram analysis to predict atrial fibrillation and mortality in heart failure

J Zhou, A Li, M Tan, MCY Lam, LT Hung… - ESC heart …, 2023 - Wiley Online Library
Background P‐wave indices have been used to predict incident atrial fibrillation (AF), stroke,
and mortality. However, such indices derived from automated ECG measurements have not …

PowerAI-CVD-the first Chinese-specific, validated artificial intelligence-powered in-silico predictive model for cardiovascular disease

L Li, OHI Chou, L Lu, HHH Pui, Q Lee, N Kaur… - medRxiv, 2023 - medrxiv.org
Background: The main risk stratification tools for identifying high-risk individuals of
cardiovascular disease (CVD) are based on Western populations. Few models are …

[HTML][HTML] Association of inflammatory markers based on routine blood with prognosis in patients underwent percutaneous coronary intervention

LK Huo, KY Chen, G Tse, T Liu - Medicine, 2024 - journals.lww.com
Inflammation contributes to the pathophysiological processes of coronary artery disease. We
evaluated the association between inflammatory biomarkers, neutrophil-to-lymphocyte ratio …

[HTML][HTML] Development of an electronic frailty index for predicting mortality in patients undergoing transcatheter aortic valve replacement using machine learning

Y Chen, J Zhou, JSK Chan, T Liu… - Annals of Clinical …, 2023 - journals.lww.com
Background: Electronic frailty indices can be useful surrogate measures of frailty. Objective:
This study is to develop an electronic frailty index that incorporates patient demographics …

Prognostic value of left atrial reverse remodelling in heart failure with preserved ejection fraction

Y Sun, Q Fu, G Tse, L Bai, J Liu, H He… - Journal of …, 2024 - journals.lww.com
Objectives Left atrial reverse remodelling (LARR) reflects an improvement in the function or
structure. However, it is unclear whether the presence of LARR is associated with better …