Coronary Heart Disease

Articles published in this theme: 117 (scroll down to load remaining articles)

2026

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Effectiveness of a Telehealth Intervention on Functional Status, Anxiety, Depression, and Rehospitalization Among Older Adults Undergoing Coronary Artery Bypass Grafting: Randomized Controlled Trial

Jirawan Mala, Usavadee Asdornwised, Kessiri Wongkongkam, Natkamol Chansatitporn, Punnarerk Thongcharoen

JMIR Cardio 2026 (May 07); 10:e81777

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Association Between Gestational Blood Pressure Trajectories and Postpartum Normotension Recovery in Hypertensive Disorders: Retrospective Cohort Study

Zhijiang Liang, Huili Wei, Xiaojun Xu, Rong Xu, Xinyue Yang, Jinlian Dong, Xiaoyan Fan, Yukun Chen, Meiling Feng, Xin Zhou, Yijun Cai, Lijuan Lv

JMIR Public Health Surveill 2026 (Apr 30); 12:e89295

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Personalized Smartphone Messaging for Secondary Prevention After Percutaneous Coronary Intervention: Randomized Controlled Trial

Sunki Lee, Ji Bak Kim, Seung Eon Shin, Jeonghoon Ahn, Hyun-Ghang Jeong, Kyung Ho Jung, Younghoon Song, Eung Ju Kim

J Med Internet Res 2026 (Apr 23); 28:e81524

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Machine Learning–Based Risk Prediction for Coronary Heart Disease Complicated by Hyperhomocysteinemia: Retrospective Study

Ming-Yuan Du, Meng-Ke Lyu, Hai-long Liu, Yi-zhuo Li, Hai-feng Yan, Xiao-hui Li

JMIR Med Inform 2026 (Mar 19); 14:e80809

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Computerized Self-Reported Medical History Taking to Support Early Rule Out of Major Adverse Cardiac Events in Patients With Acute Chest Pain: Post Hoc Analysis of the CLEOS-CPDS Prospective Cohort Study

Helge Brandberg, Carl Johan Sundberg, Jonas Spaak, Sabine Koch, Thomas Kahan

J Med Internet Res 2026 (Feb 11); 28:e76087

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Perceived Potential and Challenges of Supporting Coronary Artery Disease Treatment Decisions With AI: Qualitative Study

Khara Sauro, Bishnu Bajgain, Cody van Rassel, Bryan Har, Robert Welsh, Joon Lee

JMIR Cardio 2026 (Feb 06); 10:e81303

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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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2025

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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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