Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current …

Purpose To describe and outline the role of artificial intelligence (AI) in assisting coronary
computed tomography angiography (CCTA) in enhancing risk stratification. Methods A …

Background Studies have rarely investigated stenosis detection from head and neck CT
angiography scans because accurate interpretation is time consuming and labor intensive …

Objectives To provide an ethical analysis of the implications of the usage of artificial
intelligence–supported clinical decision support systems (AI-CDSS) in geriatrics. Design …

Background Despite the potential of artificial intelligence (AI) in enhancing cardiovascular
care, its integration into clinical practice is limited by a lack of evidence on its effectiveness …

Aims To evaluate a deep-learning model (DLM) for detecting coronary stenoses in
emergency room patients with acute chest pain (ACP) explored with electrocardiogram …

As the number of coronary computed tomography angiography (CTA) examinations is
expected to increase, technologies to optimize the imaging workflow are of great interest …

Background and Introduction: Cardiac imaging is crucial for diagnosing heart disorders.
Methods like X-rays, ultrasounds, CT scans, and MRIs provide detailed anatomical and …

In an era in which cardiovascular disease has become the main cause of death all over the
world, diagnostic accuracy in identifying blood vessels has become particularly important …

Kronični koronarni sindrom in miokardni infarkt (MI) sta pri sladkornih bolnikih tipa 2 (SBT2)
posledica kronične hiperglikemije in zvišanih nivojev oksidativnega stresa. V svoji …