Articles published in 2025 in this theme: 27 (scroll down to load remaining articles)
2025
Risk Prediction of Major Adverse Cardiovascular Events Within One Year After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome: Machine Learning–Based Time-to-Event Analysis
JMIR Med Inform 2025 (Nov 27); 13:e81778
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Evaluating the Effectiveness of Generative AI for the Creation of Patient Education Materials on Coronary Heart Disease: A Comparative Study
JMIR Form Res 2025 (Nov 21); 9:e78816
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Efficacy of Telemedical Interventional Management in Patients with Coronary Heart Disease Undergoing Percutaneous Coronary Intervention: Randomized Controlled Trial
J Med Internet Res 2025 (Oct 20); 27:e63350
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Innovative Integration of 4D Cardiovascular Reconstruction and Hologram: Framework Development of a New Visualization Tool for Coronary Artery Bypass Grafting Planning
JMIR Med Inform 2025 (Sep 30); 13:e72237
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Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study
JMIR Res Protoc 2025 (Sep 25); 14:e67697
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Coronary Artery Disease Prevalence in an Executive Population at a Tertiary Medical Center: Protocol for a Retrospective Cohort Study
JMIR Res Protoc 2025 (Sep 17); 14:e72451
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Leveraging GPT-4o for Automated Extraction and Categorization of CAD-RADS Features From Free-Text Coronary CT Angiography Reports: Diagnostic Study
JMIR Med Inform 2025 (Sep 10); 13:e70967
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Safety and Efficacy of Aspirin and Indobufen in the Treatment of Atherosclerotic Diseases: Systematic Review and Meta-Analysis
Interact J Med Res 2025 (Aug 20); 14:e75363
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Applications of Ballistocardiogram in the Diagnosis of Coronary Heart Disease: Systematic Review
JMIR Cardio 2025 (Aug 08); 9:e68197
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Machine Learning–Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study
JMIR Med Inform 2025 (Aug 07); 13:e74415
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Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis
J Med Internet Res 2025 (Jul 18); 27:e76215
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Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study
J Med Internet Res 2025 (Jul 11); 27:e70943
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Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation
JMIR Med Inform 2025 (May 28); 13:e72349
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Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography for Low-Risk Patients Screened With Artificial Intelligence: Protocol for the CarDIA-AI Randomized Controlled Trial
JMIR Res Protoc 2025 (May 21); 14:e71726
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Web-Based Nursing Intervention to Promote Physical Activity Among Older Adults After Coronary Revascularization: Protocol for Mixed Method Pilot Study
JMIR Res Protoc 2025 (May 21); 14:e67678
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Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study
JMIR Cardio 2025 (May 12); 9:e68066
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Co-Occurring Diseases and Mortality in Patients With Chronic Heart Disease, Modeling Their Dynamically Expanding Disease Portfolios: Nationwide Register Study
JMIR Cardio 2025 (Apr 25); 9:e57749
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Pharmacist-Initiated Team-Based Intervention for Optimizing Guideline-Directed Lipid Therapy of Hospitalized Patients With Acute Coronary Syndrome: Pilot Study Using a Stepped-Wedge Cluster Design
JMIR Cardio 2025 (Mar 28); 9:e58837
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Authors’ Reply: The SCeiP Model for Remote Rehabilitation in Homebound Patients With Coronary Heart Disease
J Med Internet Res 2025 (Mar 28); 27:e70247
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The SCeiP Model for Remote Rehabilitation in Homebound Patients With Coronary Heart Disease
J Med Internet Res 2025 (Mar 28); 27:e69927
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