Cardiac Risk and Cardiac Risk Calculators

Effects of a Cloud-Based Synchronous Telehealth Program on Valvular Regurgitation Regression: Retrospective Study

Li-Tan Yang, Chi-Han Wu, Jen-Kuang Lee, Wei-Jyun Wang, Ying-Hsien Chen, Ching-Chang Huang, Chi-Sheng Hung, Kuang-Chien Chiang, Yi-Lwun Ho, Hui-Wen Wu

J Med Internet Res 2025 (Apr 23); 27:e68929

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Maternal Metabolic Health and Mother and Baby Health Outcomes (MAMBO): Protocol of a Prospective Observational Study

Sarah A L Price, Digsu N Koye, Alice Lewin, Alison Nankervis, Stefan C Kane

JMIR Res Protoc 2025 (Apr 11); 14:e72542

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Developing a Machine Learning Model for Predicting 30-Day Major Adverse Cardiac and Cerebrovascular Events in Patients Undergoing Noncardiac Surgery: Retrospective Study

Ju-Seung Kwun, Houng-Beom Ahn, Si-Hyuck Kang, Sooyoung Yoo, Seok Kim, Wongeun Song, Junho Hyun, Ji Seon Oh, Gakyoung Baek, Jung-Won Suh

J Med Internet Res 2025 (Apr 09); 27:e66366

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Clinical, Psychological, Physiological, and Technical Parameters and Their Relationship With Digital Tool Use During Cardiac Rehabilitation: Comparison and Correlation Study

Fabian Wiesmüller, David Haag, Mahdi Sareban, Karl Mayr, Norbert Mürzl, Michael Porodko, Christoph Puelacher, Lisa-Marie Moser, Marco Philippi, Heimo Traninger, Stefan Höfer, Josef Niebauer, Günter Schreier, Dieter Hayn

JMIR Mhealth Uhealth 2025 (Apr 08); 13:e57413

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Two-Year Hypertension Incidence Risk Prediction in Populations in the Desert Regions of Northwest China: Prospective Cohort Study

Yinlin Cheng, Kuiying Gu, Weidong Ji, Zhensheng Hu, Yining Yang, Yi Zhou

J Med Internet Res 2025 (Mar 12); 27:e68442

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Application of Machine Learning for Patients With Cardiac Arrest: Systematic Review and Meta-Analysis

Shengfeng Wei, Xiangjian Guo, Shilin He, Chunhua Zhang, Zhizhuan Chen, Jianmei Chen, Yanmei Huang, Fan Zhang, Qiangqiang Liu

J Med Internet Res 2025 (Mar 10); 27:e67871

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Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

Shao-Chi Lu, Guang-Yuan Chen, An-Sheng Liu, Jen-Tang Sun, Jun-Wan Gao, Chien-Hua Huang, Chu-Lin Tsai, Li-Chen Fu

J Med Internet Res 2025 (Feb 28); 27:e67576

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Establishing Syndromic Surveillance of Acute Coronary Syndrome, Myocardial Infarction, and Stroke: Registry Study Based on Routine Data From German Emergency Departments

Madlen Schranz, Mirjam Rupprecht, Annette Aigner, Leo Benning, Carmen Schlump, Nesrine Charfeddine, Michaela Diercke, Linus Grabenhenrich, Alexander Ullrich, Hannelore Neuhauser, Birga Maier, AKTIN Research Group, Felix Patricius Hans, Sabine Blaschke

JMIR Public Health Surveill 2025 (Feb 25); 11:e66218

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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study

Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

J Med Internet Res 2025 (Jan 30); 27:e67346

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Performance of an Electronic Health Record–Based Automated Pulmonary Embolism Severity Index Score Calculator: Cohort Study in the Emergency Department

Elizabeth Joyce, James McMullen, Xiaowen Kong, Connor O'Hare, Valerie Gavrila, Anthony Cuttitta, Geoffrey D Barnes, Colin F Greineder

JMIR Med Inform 2025 (Jan 20); 13:e58800

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Estimating Trends in Cardiovascular Disease Risk for the EXPOSE (Explaining Population Trends in Cardiovascular Risk: A Comparative Analysis of Health Transitions in South Africa and England) Study: Repeated Cross-Sectional Study

Shaun Scholes, Jennifer S Mindell, Mari Toomse-Smith, Annibale Cois, Kafui Adjaye-Gbewonyo

JMIR Cardio 2025 (Jan 20); 9:e64893

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Development and Validation of a Predictive Model Based on Serum Silent Information Regulator 6 Levels in Chinese Older Adult Patients: Cross-Sectional Descriptive Study

Yuzi You, Wei Liang, Yajie Zhao

JMIR Aging 2025 (Jan 15); 8:e64374

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Application of Dragonnet and Conformal Inference for Estimating Individualized Treatment Effects for Personalized Stroke Prevention: Retrospective Cohort Study

Sermkiat Lolak, John Attia, Gareth J McKay, Ammarin Thakkinstian

JMIR Cardio 2025 (Jan 08); 9:e50627

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Enhancing Clinical Decision Making by Predicting Readmission Risk in Patients With Heart Failure Using Machine Learning: Predictive Model Development Study

Xiangkui Jiang, Bingquan Wang

JMIR Med Inform 2024 (Dec 31); 12:e58812

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The Role of Machine Learning in the Detection of Cardiac Fibrosis in Electrocardiograms: Scoping Review

Julia Handra, Hannah James, Ashery Mbilinyi, Ashley Moller-Hansen, Callum O'Riley, Jason Andrade, Marc Deyell, Cameron Hague, Nathaniel Hawkins, Kendall Ho, Ricky Hu, Jonathon Leipsic, Roger Tam

JMIR Cardio 2024 (Dec 30); 8:e60697

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A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study

Matthew Deady, Raymond Duncan, Matthew Sonesen, Renier Estiandan, Kelly Stimpert, Sylvia Cho, Jeffrey Beers, Brian Goodness, Lance Daniel Jones, Richard Forshee, Steven A Anderson, Hussein Ezzeldin

J Med Internet Res 2024 (Nov 25); 26:e54597

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Using Machine Learning to Predict the Duration of Atrial Fibrillation: Model Development and Validation

Satoshi Shimoo, Keitaro Senoo, Taku Okawa, Kohei Kawai, Masahiro Makino, Jun Munakata, Nobunari Tomura, Hibiki Iwakoshi, Tetsuro Nishimura, Hirokazu Shiraishi, Keiji Inoue, Satoaki Matoba

JMIR Med Inform 2024 (Nov 22); 12:e63795

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Associations Among Cardiometabolic Risk Factors, Sleep Duration, and Obstructive Sleep Apnea in a Southeastern US Rural Community: Cross-Sectional Analysis From the SLUMBRx-PONS Study

Adam P Knowlden, Lee J Winchester, Hayley V MacDonald, James D Geyer, John C Higginbotham

JMIR Form Res 2024 (Nov 08); 8:e54792

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Comparison of Auscultation Quality Using Contemporary Digital Stethoscopes

Norah Saraya, Jonathon McBride, Karandeep Singh, Omar Sohail, Porag Jeet Das

JMIR Cardio 2024 (Nov 08); 8:e54746

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Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan

Seung Ha Hwang, Hayeon Lee, Jun Hyuk Lee, Myeongcheol Lee, Ai Koyanagi, Lee Smith, Sang Youl Rhee, Dong Keon Yon, Jinseok Lee

J Med Internet Res 2024 (Nov 05); 26:e52794

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