Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Computerized electrocardiogram (ECG) interpretation plays a critical role in the clinical ECG workfl...
OBJECTIVE: The objective of this paper is to provide an algorithm for accurate, automated detection ...
Abnormality of the cardiac conduction system can induce arrhythmia - abnormal heart rhythm - that ca...
BACKGROUND: Dyspnea is a common symptom in chronic obstructive pulmonary disease (COPD). The modifie...
An electrochemical biosensor for the detection of cardiac troponin I, cTnI, an important cardiac bio...
BACKGROUND: The current acute kidney injury (AKI) risk prediction model for patients undergoing perc...
Anemia is a frequently encountered problem in the healthcare system. Common causes of anemia include...
We have previously developed an automated localization method based on multiple linear regression (M...
BACKGROUND: Cardiologs® has developed the first electrocardiogram (ECG) algorithm that uses a deep n...
Excellent image quality is a primary prerequisite for diagnostic non-invasive coronary CT angiograph...
Electrocardiography (ECG) sensors play a vital role in the Internet of Medical Things, and these sen...
OBJECTIVE: Atrial fibrillation is a common type of heart rhythm abnormality caused by a problem with...
OBJECTIVE: Fragmented QRS (fQRS) is an accessible biomarker and indication of myocardial scarring th...
OBJECTIVE: Electrocardiography is the most common tool to diagnose cardiovascular diseases. Annotati...
Electrocardiogram (ECG) signal is a process that records the heart rate by using electrodes and dete...
Electrocardiogram (ECG) is gaining increased attention as a biometric method in a wide range of appl...
OBJECTIVE: The electrocardiogram (ECG) provides an effective, non-invasive approach for clinical dia...
This paper proposes deep learning methods with signal alignment that facilitate the end-to-end class...
BACKGROUND: Cardiac troponin I (cTnI) 99th percentile cutoffs, used in the diagnosis of acute myocar...
OBJECTIVE: Use of wearable ECG devices for arrhythmia screening is limited due to poor signal qualit...
UNLABELLED: The automated detection of arrhythmia in a Holter ECG signal is a challenging task due t...