Clinical laboratories have evolved with technological advancements through integrating
various subsystems into Health Information Systems (HIS), particularly the Laboratory …

Nowadays, the demand for healthcare to transform from traditional hospital and disease-
centered services to smart healthcare and patient-centered services, including the health …

Background The clinical utility of the Apple Inc.® smartwatch in scenarios beyond detecting
atrial fibrillation has been debated. Although the device has the capability to record …

Objective Artificial intelligence (AI) detects heart disease from images of electrocardiograms
(ECGs). However, traditional supervised learning is limited by the need for large amounts of …

Healthcare organizations must urgently prioritize interoperability to enhance the quality of
care they provide. However, achieving this collaboration comes with numerous challenges …

An accurate and compact electrocardiogram (ECG) device will greatly assist doctors in
diagnosing heart diseases. It will also help to address the increasing number of deaths …

Abstract eHealth systems have been created in most develo** countries to facilitate the
functioning of healthcare operations and as such various healthcare applications are …

The most common non-invasive diagnostic model is the Electrocardiogram (ECG), which
records the heart's electrical activity over time and is used to diagnose various heart …

The research investigates the implementation of a secure infrastructure on the Google Cloud
Platform (GCP) to enhance healthcare data management within HL 7-Based Electronic …

Prehospital electrocardiogram (PH-ECG) transmission is an important technology for
reducing door-to-balloon time, but the decision to transmit often depends on the discretion of …