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Mesenchymal Stem Cell Therapy for Acute Myocardial Infarction: Protocol for a Systematic Review and Meta-Analysis

Mesenchymal Stem Cell Therapy for Acute Myocardial Infarction: Protocol for a Systematic Review and Meta-Analysis

Myocardial reperfusion with percutaneous coronary intervention is a standard treatment for acute MI. Time to reperfusion is directly correlated with prognosis; therefore, prompt revascularization should be pursued [2]. After reperfusion, patients receive optimal medical therapy, which has significantly improved outcomes since its advent [3].

Michael Vincent DiCaro, Brianna Yee, KaChon Lei, Kavita Batra, Buddhadeb Dawn

JMIR Res Protoc 2025;14:e60591

Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach

Continuous-time Markov chain (CTMC) transition probability matrix from state i to state j at a time of 90 days. a MI: myocardial infarction. b CHF: congestive heart failure. c CHMI: congestive heart failure and myocardial infarction. d CHST: congestive heart failure and stroke. e CHANMI: congestive heart failure, angina, and myocardial infarction. f ANMI: angina and myocardial infarction. g CHAN: congestive heart failure and angina.

Arindam Brahma, Samir Chatterjee, Kala Seal, Ben Fitzpatrick, Youyou Tao

JMIR Med Inform 2024;12:e59392

The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease

The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease

This year alone, roughly 605,000 Americans will have an incident myocardial infarction (MI) and greater than 110,000 will die from MI [1]. Given the high prevalence of MI, there is significant focus on identifying those most likely to develop incident coronary heart disease [2-5]. If properly identified, primary preventive pharmacologic and lifestyle strategies can be applied to those at the highest risk [6].

Steven Simon, Divneet Mandair, Abdel Albakri, Alison Fohner, Noah Simon, Leslie Lange, Mary Biggs, Kenneth Mukamal, Bruce Psaty, Michael Rosenberg

JMIR Cardio 2022;6(2):e38040

Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation

Reliable Deep Learning–Based Detection of Misplaced Chest Electrodes During Electrocardiogram Recording: Algorithm Development and Validation

ECG signals recorded from vertically misplaced V1 and V2 electrodes could also result in a false diagnosis of Brugada syndrome [13] and a failure to detect myocardial infarction (MI) and left ventricular hypertrophy (LVH) [10]. Misplacement can not only conceal but also mimic other cardiac diseases, such as MI [14-16]. Less than 20% of cardiologists and 50% of nurses can correctly place V1 and V2 in their correct positions [17].

Khaled Rjoob, Raymond Bond, Dewar Finlay, Victoria McGilligan, Stephen J Leslie, Ali Rababah, Aleeha Iftikhar, Daniel Guldenring, Charles Knoery, Anne McShane, Aaron Peace

JMIR Med Inform 2021;9(4):e25347