Abstract Machine learning (ML) is a rapidly advancing field with increasing utility in health
care. We conducted a systematic review and critical appraisal of ML applications in vascular …

Background Artificial intelligence is fueling a new revolution in medicine and in the
healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there …

Due to its potential to enhance patient outcomes and ease individualized therapy, predictive
medicine has received considerable interest in recent years. In this article we examine the …

Background: Mechanically ventilated patients in the intensive care unit (ICU) have high
mortality rates. There are multiple prediction scores, such as the Simplified Acute Physiology …

Objective The aim of this study was to evaluate an automatic, deep learning based method
(Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum …

Objective Applications of artificial intelligence (AI) have been reported in several
cardiovascular diseases but its interest in patients with peripheral artery disease (PAD) has …

Artificial intelligence (AI), also known as machine intelligence, is widely utilized in the
medical field, promoting medical advances. Malignant tumors are the critical focus of …

Background Artificial intelligence (AI) and machine learning (ML) have seen increasingly
intimate integration with medicine and healthcare in the last 2 decades. The objective of this …

Background: Telemedicine has the potential to revolutionize healthcare. While the
development of digital health technologies for the management of patients with …

Objective Endovascular aortic repair (EVAR) surveillance relies on serial measurements of
the maximal diameter despite significant inter-and intraobserver variability. Volumetric …