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Medical Hypotheses
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December 1, 2020
COVID-19: Electrophysiological mechanisms underlying sudden cardiac death during exercise with facemasks
Sharen Lee, Guoliang Li, Tong Liu, et al.
International Journal of Cardiology
|
May 11, 2020
Incidence and predictors of atrial fibrillation in a Chinese cohort of Brugada syndrome
Gary Tse, Sharen Lee, Ngai Shing Mok, et al.
Journal of Electrocardiology
|
May 2, 2022
A remote mentorship model for empowering students to undertake electrocardiology research: Effects on gender equity
Ronald Hang Kin Nam, Gary Tse, Tong Liu, et al.
Acta Diabetologica
|
September 17, 2020
Predictions of diabetes complications and mortality using hba1c variability: a 10-year observational cohort study
Sharen Lee, Tong Liu, Jiandong Zhou, et al.
Npj Metabolic Health and Disease
|
July 2, 2025
PowerAI-Diabetes: Review of glycemic and lipid variability to predict cardiovascular events in Chinese diabetic population
Sharen Lee, Tong Liu, Cheuk To Chung, et al.
Frontiers in Cardiovascular Medicine
|
October 1, 2021
The Distribution of Cardiovascular-Related Comorbidities in Different Adult-Onset Cancers and Related Risk Factors: Analysis of 10 Year Retrospective Data
Qingsong Li, Fei Liu, Yuqi Tang, et al.
International Journal of Arrhythmia
|
October 10, 2022
Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis
Cheuk To Chung, Sharen Lee, Emma King, et al.
Frontiers in Cardiovascular Medicine
|
February 1, 2021
Automated Electrocardiogram Analysis Identifies Novel Predictors of Ventricular Arrhythmias in Brugada Syndrome
Gary Tse, Sharen Lee, Andrew Li, et al.
Frontiers in Cardiovascular Medicine
|
June 28, 2021
Ventricular Tachyarrhythmia Risk in Paediatric/Young vs. Adult Brugada Syndrome Patients: A Territory-Wide Study
Sharen Lee, Wing Tak Wong, Ian Chi Kei Wong, et al.
International Journal of Arrhythmia
|
April 22, 2022
Machine learning techniques for arrhythmic risk stratification: a review of the literature
Cheuk To Chung, George Bazoukis, Sharen Lee, et al.
Page
of 9
Search research articles
Search
Showing results (1-10 of 89) with videos related to
Sort By:
Page
of 9
Medical Hypotheses
|
December 1, 2020
COVID-19: Electrophysiological mechanisms underlying sudden cardiac death during exercise with facemasks
Sharen Lee, Guoliang Li, Tong Liu, et al.
International Journal of Cardiology
|
May 11, 2020
Incidence and predictors of atrial fibrillation in a Chinese cohort of Brugada syndrome
Gary Tse, Sharen Lee, Ngai Shing Mok, et al.
Journal of Electrocardiology
|
May 2, 2022
A remote mentorship model for empowering students to undertake electrocardiology research: Effects on gender equity
Ronald Hang Kin Nam, Gary Tse, Tong Liu, et al.
Acta Diabetologica
|
September 17, 2020
Predictions of diabetes complications and mortality using hba1c variability: a 10-year observational cohort study
Sharen Lee, Tong Liu, Jiandong Zhou, et al.
Npj Metabolic Health and Disease
|
July 2, 2025
PowerAI-Diabetes: Review of glycemic and lipid variability to predict cardiovascular events in Chinese diabetic population
Sharen Lee, Tong Liu, Cheuk To Chung, et al.
Frontiers in Cardiovascular Medicine
|
October 1, 2021
The Distribution of Cardiovascular-Related Comorbidities in Different Adult-Onset Cancers and Related Risk Factors: Analysis of 10 Year Retrospective Data
Qingsong Li, Fei Liu, Yuqi Tang, et al.
International Journal of Arrhythmia
|
October 10, 2022
Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis
Cheuk To Chung, Sharen Lee, Emma King, et al.
Frontiers in Cardiovascular Medicine
|
February 1, 2021
Automated Electrocardiogram Analysis Identifies Novel Predictors of Ventricular Arrhythmias in Brugada Syndrome
Gary Tse, Sharen Lee, Andrew Li, et al.
Frontiers in Cardiovascular Medicine
|
June 28, 2021
Ventricular Tachyarrhythmia Risk in Paediatric/Young vs. Adult Brugada Syndrome Patients: A Territory-Wide Study
Sharen Lee, Wing Tak Wong, Ian Chi Kei Wong, et al.
International Journal of Arrhythmia
|
April 22, 2022
Machine learning techniques for arrhythmic risk stratification: a review of the literature
Cheuk To Chung, George Bazoukis, Sharen Lee, et al.
Page
of 9