Chin Lin
Orcid: 0000-0003-2337-2096
According to our database1,
Chin Lin authored at least 16 papers
between 2020 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Deep learning-enabled ECG system for detecting left ventricular hypertrophy and predicting cardiovascular prognoses.
BioData Min., 2026
2025
ECG-based deep learning for chronic kidney disease detection and cardiovascular risk prediction.
BMC Medical Informatics Decis. Mak., December, 2025
Universal Atrial Fibrillation Screening Using Electrocardiographic Artificial Intelligence: A Cost-Effective Approach in Rural Communities.
J. Medical Syst., December, 2025
Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.
J. Medical Syst., December, 2025
Artificial Intelligence-Enabled Electrocardiography Identifies Osteoporosis and has Prognostic Value.
J. Medical Syst., December, 2025
A Pretraining Approach for Small-sample Training Employing Radiographs (PASTER): a Multimodal Transformer Trained by Chest Radiography and Free-text Reports.
J. Medical Syst., December, 2025
Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial.
npj Digit. Medicine, 2025
A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.
J. Imaging Inform. Medicine, 2025
Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer.
J. Imaging Inform. Medicine, 2025
Integrating VAI-Assisted Quantified CXRs and Multimodal Data to Assess the Risk of Mortality.
J. Imaging Inform. Medicine, 2025
2024
Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk.
J. Medical Syst., December, 2024
Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events.
J. Medical Syst., December, 2024
2023
An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration.
J. Medical Syst., December, 2023
Extensive deep learning model to enhance electrocardiogram application via latent cardiovascular feature extraction from identity identification.
Comput. Methods Programs Biomed., April, 2023
2022
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction.
npj Digit. Medicine, 2022
2020
IEEE J. Biomed. Health Informatics, 2020