Zhi‐Yong Liu

Artificial Intelligence-Driven Personalized Medicine

Zhi‐Yong Liu, Chang‐Fu Kuo

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Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk

Po-Cheng Chang, Zhi‐Yong Liu, Yu-Chang Huang, Jung‐Sheng Chen et autres

BACKGROUND: The stroke risk in patients with subclinical atrial fibrillation (AF) is underestimated. By identifying patients at high risk of embolic stroke, health-care professionals can make more informed decisions regarding anticoagulation treatment to prevent stroke. The main aim of this study was …

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A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction

Ching-Heng Lin, Zhi‐Yong Liu, Pao‐Hsien Chu, Jung‐Sheng Chen et autres

Deep learning analysis of electrocardiography (ECG) may predict cardiovascular outcomes. We present a novel multi-task deep learning model, the ECG-MACE, which predicts the one-year first-ever major adverse cardiovascular events (MACE) using 2,821,889 standard 12-lead ECGs, including training (n = 984,895), validation (n …

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Universal representations in cardiovascular ECG assessment: A self-supervised learning approach

Zhi‐Yong Liu, Ching‐Heng Lin, Jung‐Sheng Chen, Po‐Cheng Chang et autres

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ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram

Ching-Heng Lin, Zhi‐Yong Liu, Jung‐Sheng Chen, Yang C. Fann et autres

BACKGROUND: Electrocardiogram (ECG) abnormalities have demonstrated potential as prognostic indicators of patient survival. However, the traditional statistical approach is constrained by structured data input, limiting its ability to fully leverage the predictive value of ECG data in prognostic modeling. METHODS: This study …

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Comparing Artificial Intelligence-Enabled Electrocardiogram Models in Identifying Left Atrium Enlargement and Long-term Cardiovascular Risk

Chung‐Chuan Chou, Zhi‐Yong Liu, Po‐Cheng Chang, Hao-Tien Liu et autres

Background The role of P wave in identifying left atrial enlargement (LAE) using artificial intelligence (AI)-enabled electrocardiogram (ECG) models is unclear. It is also unknown if AI-enabled single-lead ECGs could be used as a diagnostic tool for LAE surveillance. We aimed to …

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Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram

Po‐Cheng Chang, Zhi‐Yong Liu, Yu‐Chang Huang, Yu‐Chun Hsu et autres

Background: The risk of mortality is relatively high among patients who visit the emergency department (ED), and stratifying patients at high risk can help improve medical care. This study aimed to create a machine-learning model that utilizes the standard 12-lead ECG to …

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Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction

Yu‐Chang Huang, Yu‐Chun Hsu, Zhi‐Yong Liu, Ching‐Heng Lin et autres

Background: Left ventricular systolic dysfunction (LVSD) characterized by a reduced left ventricular ejection fraction (LVEF) is associated with adverse patient outcomes. We aimed to build a deep neural network (DNN)-based model using standard 12-lead electrocardiogram (ECG) to screen for LVSD and stratify …

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Inter-configuration fluctuation for 5f electrons in uranium hexafluoride: A many-body study

Rusong Li, Zhi‐Yong Liu, Yuan-ming Wang, Sheng Li et autres

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[Targeted Drug Therapy for Intracranial Tumors].

Han Wang, Yuelong Wang, Zhi‐Yong Liu, Jianguo Xu

Intracranial tumors seriously affect the physical and mental health of humans. Due to variations in the nature and the growth site of tumors, individualized and specific treatment of patients with intracranial tumor has become a hotspot topic of research, and targeted drug …

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Gypenosides regulate autophagy through Sirt1 pathway and the anti-inflammatory mechanism of mitochondrial autophagy in systemic lupus erythematosus

Jinyong Ke, Zhi‐Yong Liu, Yunhan Wang, Shiming Chen et autres

saponins (GpS) regulating mitochondrial autophagy and anti-inflammatory through Sirtuin 1 (Sirt1) pathway in systemic lupus erythematosus (SLE). JURKAT cells were cultured in vitro, RT-PCR and western blotting (WB) were utilized to identify the expression of related-proteins in Sirt1 pathway and global autophagy …

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Inter-Configuration Fluctuation For 5f Electrons in Uranium Hexafluoride: A Many-Body Study

Rusong Li, Zhi‐Yong Liu, Yuan-ming Wang, Sheng Li et autres

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