Aims Over the past 25 years there has been a substantial development in the field of digital
electrophysiology (EP) and in parallel a substantial increase in publications on digital …

Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This scoping …

Methods: A comprehensive literature collection was compiled through electronic
databases/internet search engines (PubMed, Web of Science Platform, MEDLINE, Scopus …

Visit-to-visit blood pressure variability (BPV) has been shown to be a predictor of
cardiovascular disease. We aimed to classify the BPV levels using different machine …

Clinical decision-making regarding syncope poses challenges, with risk of physician error
due to the elusive nature of syncope pathophysiology, diverse presentations, heterogeneity …

INTRODUCTION: During future interplanetary space missions, a number of health
conditions may arise, owing to the hostile environment of space and the myriad of stressors …

Predicting clinical deterioration in COVID-19 patients remains a challenging task in the
Emergency Department (ED). To address this aim, we developed an artificial neural network …

Syncope is common in the general population and a common presenting symptom in acute
care settings. Substantial costs are attributed to the care of patients with syncope. Current …

Background The problem of correct inpatient scheduling is extremely significant for
healthcare management. Extended length of stay can have negative effects on the supply of …

Emergency departments are characterized by the need for quick diagnosis under pressure.
To select the most appropriate treatment, a series of rules to support decision-making has …