Latest AI and machine learning research in congestive heart failure for healthcare professionals.
INTRODUCTION: Blood pressure treatment response is variable in individual patients, and the choice o...
Twenty-four hour ambulatory blood pressure (BP) monitoring (24-hour ABPM) is considered the best out...
Cardiovascular diseases (CVDs) remain a leading source of morbidity, mortality, and healthcare burde...
BACKGROUND: Early recognition of sepsis-related myocardial injury during sepsis remains difficult, p...
Patients undergoing maintenance hemodialysis face annual mortality rates of 15-27%, with cardiovascu...
Continuous monitoring of Arterial Blood Pressure (ABP) in critically ill patients requires invasive ...
Cognitive impairment (CI) is an emerging public health challenge in rural aging populations, where a...
BackgroundThis study aims to explore the association between the Hemoglobin/Red Cell Distribution Wi...
Deep learning models have transformed several fields lately. In the past, capturing thermodynamic tr...
OBJECTIVES: Severe infections are a primary cause of morbidity and premature mortality in patients w...
Portable, scalable, and accessible artificial intelligence (AI)-enabled smartwatch technology shows ...
BACKGROUND: Aortic valve calcium scoring by computed tomography (CT) is an established method for as...
INTRODUCTION: The diagnosis of heart failure with a preserved left ventricular ejection fraction (HF...
Artificial intelligence applied to the ECG is expanding the clinical role of this widely available d...
BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) prone to acute diabetic complications are ...
BACKGROUND: At least 50% of individuals who suffer sudden cardiac arrest (SCA) have warning symptoms...
BACKGROUND: Inherited PLN (phospholamban) R14del variants cause dilated cardiomyopathy with a high b...
INTRODUCTION: As ultrasound technology has become more advanced and accessible over the years, point...
Endovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). Howeve...
Clinical trial design (CTD) is a time-consuming process that requires substantial domain expertise. ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a growing global health ...