Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Automated ECG-based arrhythmia detection is critical for early cardiac disease prevention and diagno...
To develop deep learning models for predicting Interoperative hypotension (IOH) using waveforms from...
The electrical activity produced during the heartbeat is measured and recorded by an ECG. Cardiologi...
Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. ...
Microcatheters have enabled diverse minimally invasive endovascular operations and notable health be...
According to the World Health Organization (WHO) report, heart disease is spreading throughout the w...
Cardiac arrhythmias pose a significant danger to human life; therefore, it is of utmost importance t...
There are many surgical operations performed daily in operation rooms worldwide. Adequate anesthesia...
The spatial QRS-T angle is a promising health indicator for risk stratification of sudden cardiac de...
OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing disea...
Feasibility of automated volume-derived cardiac functional evaluation has successfully been demonstr...
. Automatic electrocardiogram (ECG) interpretation based on deep learning methods is attracting incr...
This study was to show the impact of 'prostate-muscle index (PMI)', which we developed as a novel pe...
Recently, the novel coronavirus disease 2019 (COVID-19) has posed many challenges to the research co...
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people's lives. These a...
Pain is a reliable indicator of health issues; it affects patients' quality of life when not well ma...
Artificial intelligence (AI) and health sensory data-fusion hold the potential to automate many labo...
Stroke is the second leading cause of death globally after ischemic heart disease, also a risk facto...
Advancements in machine learning and computing methods have given new life and great excitement to o...
The primary purpose of this work is to analyze the ability of N-BEATS architecture for the problem o...
Within the PhysioNet/Computing in Cardiology Challenge 2021, we focused on the design of a machine l...