Coronary Heart Disease

Home-Based Exercise Cardiac Telerehabilitation on Adherence and Functional Capacity for Patients After Percutaneous Coronary Intervention in Indonesia: Protocol for a Quasi-Experimental Study

Wantiyah Wantiyah, Anggoro Budi Hartopo, Sri Setiyarini, Budi Yuli Setianto

JMIR Res Protoc 2026 (Jan 16); 15:e81067

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Effects of an eHealth Cardiac Exercise Rehabilitation Platform for Patients After Percutaneous Coronary Intervention Based on the Persuasive Systems Design Model: Randomized Controlled Trial

Yang Liu, Xiting Huang, Ziying Dai, Zhili Jiang, Wenxiao Wu, Jing Wang, Zhiqian Wang, Luyao Yu, Hanyu Li, Lihua Huang

J Med Internet Res 2026 (Jan 14); 28:e71450

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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

Hong-Jae Choi, Changhee Lee, Hack-Lyoung Kim, Youn-Jung Son

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

Xiaofang Jiang, Jingbang Liu, Shanshan Dai, Xiawen Mao, Rongping Cha, Lili Wu

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

Xiaofan Yu, Jiaoyu Cao, Jie Xu, Qizhi Xu, Hongwu Chen, Dongbiao Yu, Anping Ou, Yue Hu, Likun Ma

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

Shuo Wang, Tong Ren, Nan Cheng, Li Zhang, Rong Wang

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

Georgios Rampidis, Evangelos Logaras, Athanasios Samaras, Emmanouil S Rigas, Ilias Kyparissidis-Kokkinidis, Styliana Siakopoulou, Panagiotis-Emmanouil Kartsidis, Konstantinos Kouskouras, George Giannakoulas, Panagiotis Bamidis, Antonios Billis

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

Murali Duggirala, Basant Katamesh, Ann Vincent, Ivana Croghan, Brian Dougan, Jayanth Adusumalli, Ryan Hurt, Sanjeev Nanda, Donna Lawson, Amirala Pasha

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

Youmei Chen, Mengshi Dong, Jie Sun, Zhanao Meng, Yiqing Yang, Abudushalamu Muhetaier, Chao Li, Jie Qin

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

Wenhao Pan, Linger Guan, Haicheng Zhang

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

Mairihaba Maimaiti, Hongling Zhu, Hesong Zeng

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

Hye-Jin Kim, Heeji Choi, Hyo-Jung Ahn, Seung-Ho Shin, Chulho Kim, Sang-Hwa Lee, Jong-Hee Sohn, Jae-Jun Lee

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

Min-Young Yu, Hae Young Yoo, Ga In Han, Eun-Jung Kim, Youn-Jung Son

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

Zixiang Ye, Zhangyu Lin, Enmin Xie, Chenxi Song, Rui Zhang, Hao-Yu Wang, Shanshan Shi, Lei Feng, Kefei Dou

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

Yike Li, Mingyang Xiao, Yaqian Li, Lulu Lv, Shanshan Zhang, Yuhui Liu, Juan Zhang

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

Jeremy Petch, Juan Pablo Tabja Bortesi, Tej Sheth, Madhu Natarajan, Natalia Pinilla-Echeverri, Shuang Di, Shrikant I Bangdiwala, Karen Mosleh, Omar Ibrahim, Kevin R Bainey, Julian Dobranowski, Maria P Becerra, Katie Sonier, Jon-David Schwalm

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

Audrey Lavoie, Véronique Dubé

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

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

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

Nikolaj Normann Holm, Anne Frølich, Helena Dominguez, Kim Peder Dalhoff, Helle Gybel Juul-Larsen, Ove Andersen, Anders Stockmarr

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

Gayle L Flo, Mateo Alzate Aguirre, Benjamin R Gochanour, Kristin J Hynes, Christopher G Scott, Angela L Fink, Adelaide M Arruda-Olson

JMIR Cardio 2025 (Mar 28); 9:e58837

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