Table 2.
Different studies exploring the role of AI in cardiovascular medicine.
| Authors | Type of study | Type of AI/machine learning method used | PMID |
|---|---|---|---|
| Li et al25 | Predicting the warfarin maintenance dose after heart valve replacement with AI methods | Back propagation neural network model | 31586305 |
| Shah et al26,27 | Classification of HFpEF into different categories | Phenomapping and Big Data | 28585183 25398313 |
| Zellweger et al32,33 | Role of AI as a noninvasive tool for the diagnosis of coronary artery disease | AI-based mimetic pattern–based algorithm (MPA) | 30174760 |
| Khamis et al34 | Automatic apical view classification of echocardiograms | Multistage classification and supervised learning | 27816858 |
| Narula et al35 | Differential diagnosis of hypertrophic cardiomyopathy and physiological hypertrophy seen in the athletes | AI algorithms used random forest, support vector machines and artificial neural networks | 27884247 |
| Sanchez-Martinez et al36 | Left ventricular function in heart failure patients with preserved ejection fraction | Unsupervised machine learning methods | 29661795 |
| Sengupta et al37 | Differentiation of restrictive cardiomyopathy and constrictive pericarditis by machine learning | Associative memory classifier / Machine learning | 27266599 |
| Tabassian et al38 | Spatiotemporal effects of myocardial infarction and cardiac contractile function | Principal component analysis and automatic classification | 28321681 |
| Moghaddasi and Nourian39 | Assessment of Mitral regurgitation with echocardiography images | Support vector machines, template matching, linear discriminant analysis | 27082766 |
| Larroza et al40 | Differentiate between acute and chronic myocardial infarction using cardiac MRI images | Support vector machine, random forest, SVM with polynesial kernels | 28624024 |
| Dawes et al41 | Role of cardiac MRI in 3D measurement of right ventricular function and outcomes in pulmonary hypertension | Supervised learning and principal component analysis | 28092203 |
| Attia et al42 | Role of AI-based learning algorithms to diagnose asymptomatic left ventricular dysfunction. | Convolution neural networks based study | 30617318 |
| Kakadiaris et al43 | Machine learning (ML)-based risk calculator for cardiovascular risk prediction | Support Vector Machine | 30571498 |
Abbreviations: AI, artificial intelligence; ML, machine learning; MPA, mimetic pattern–based algorithm; MRI, magnetic resonance imaging; SVM, support vector machine.