Latest AI and machine learning research in myocardial infarction for healthcare professionals.
This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) he...
OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using cli...
BACKGROUND: The ECG remains the most widely used diagnostic test for characterization of cardiac str...
BACKGROUND: No previous reports have examined the impact of robotic-assisted (RA) chronic total occl...
BACKGROUND: Sex and age have long been known to affect the ECG. Several biologic variables and anato...
Recently, portable electrocardiogram (ECG) hardware devices have been developed using limb-lead meas...
BACKGROUND: Computerised electrocardiogram (ECG) interpretation diagnostic algorithms have been deve...
Early detection of coronary heart disease (CHD) has the potential to prevent the millions of deaths ...
In this study, a deep-transfer learning approach is proposed for the automated diagnosis of diabetes...
The electrocardiogram is the most widely used diagnostic tool that records the electrical activity o...
Due to its simplicity and low cost, analyzing an electrocardiogram (ECG) is the most common techniqu...
Atrial fibrillation (AF) is the most common heart arrhythmia, and 12-lead electrocardiogram (ECG) is...
BACKGROUND: Atrial fibrillation is frequently asymptomatic and thus underdetected but is associated ...
OBJECTIVE: Photoselective vaporization of the prostate (PVP) is a widely performed surgical procedur...
BACKGROUND: Non-contact heart rate (HR) and respiratory rate (RR) monitoring is necessary for preter...
Wearable intelligent ECG monitoring devices can perform automatic ECG diagnosis in real time and sen...
Cardiovascular disease (CVD) has become one of the most serious diseases that threaten human health....
OBJECTIVES: Congestive heart failure (CHF) is a heart disease with a growing incidence and prevalenc...
IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may i...
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify p...
The underlying pathophysiology of myocardial ischemia is incompletely understood, resulting in persi...