Urinalysis is a significant diagnostic tool for the detection of various diseases. The recent
surge in the applications of artificial intelligence (AI) has revolutionized the medical industry …

Background Patient education plays a crucial role in improving the quality of life for patients
with heart failure. As artificial intelligence continues to advance, new chatbots are emerging …

Background DNA methylation (DNAm) age acceleration (AgeAccel) and cardiac age by 12-
lead advanced electrocardiography (A-ECG) are promising biomarkers of biological and …

Cardiovascular diseases (CVD) are diverse disorders affecting the heart and vasculature in
millions of people worldwide. Like other fields, CVD research has benefitted from the deluge …

Background Identification of the effective subtypes of treatment for heart failure (HF) is an
essential topic for optimizing treatment of the disorder. We hypothesized that the beneficial …

Artificial Intelligence is extensively applied in heartcare to analyze patient data, detect
anomalies, and provide personalized treatment recommendations, ultimately improving …

Early detection of left ventricular systolic dysfunction (LVSD) may prompt early care and
improve outcomes for asymptomatic patients. Standard 12-lead ECG may be used to predict …

Recently, significant efforts have been made to create Health Digital Twins (HDTs), Digital
Twins for clinical applications. Heart modeling is one of the fastest-growing fields, which …

Coronary heart disease (CHD) is one of the leading causes of deaths globally. Identification
of serum metabolic biomarkers for its early diagnosis is thus much desirable. Serum …

Heart failure (HF) is prevalent globally. It is a dynamic disease with varying definitions and
classifications due to multiple pathophysiologies and etiologies. The diagnosis, clinical …