Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

Although artificial intelligence (AI) algorithms have been shown to be capable of identifying
cardiac dysfunction, defined as ejection fraction (EF)≤ 40%, from 12-lead …

Cardiovascular disease (CVD) is the world's leading cause of mortality. There is significant
interest in using Artificial Intelligence (AI) to analyse data from novel sensors such as …

Dyskalemias are common electrolyte disorders associated with high cardiovascular risk.
Artificial intelligence (AI)-assisted electrocardiography (ECG) has been evaluated as an …

Myocardial infarction (MI) is a common cardiovascular disorder caused by prolonged
ischemia, and early diagnosis of MI is critical for lifesaving. Electrocardiogram (ECG) is a …

(1) Background: Acute pericarditis is often confused with ST-segment elevation myocardial
infarction (STEMI) among patients presenting with acute chest pain in the emergency …

Heart rate is quite regular during sinus (normal) rhythm (SR) originating from the sinus node.
In contrast, heart rate is usually irregular during atrial fibrillation (AF). Complete …

Background: Dermatological conditions are a relevant health problem. Each person has an
average of 1.6 skin diseases per year, and consultations for skin pathology represent 20% of …

Background: Left atrium enlargement (LAE) can be used as a predictor of future
cardiovascular diseases, including hypertension (HTN) and atrial fibrillation (Afib). Typical …

The depth and breadth of data produced in the modern cardiac intensive care unit (CICU)
poses challenges to clinicians and researchers. Artificial intelligence (AI) and machine …