Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …

Background The use of telehealth interventions, such as the remote monitoring of patient
clinical data (eg blood pressure, blood glucose, heart rate, medication use), has been …

Background Hospital-acquired pressure injuries are a serious problem among critical care
patients. Some can be prevented by using measures such as specialty beds, which are not …

Abstract Congestive Heart Failure (CHF) is a severe pathophysiological condition
associated with high prevalence, high mortality rates, and sustained healthcare costs …

With development in the area of electronics and artificial intelligence (AI), medical devices
(MD) have been sophisticated as well. MD management strategies today are very different …

Poorly regulated and insufficiently supervised medical devices (MDs) carry high risk of
performance accuracy and safety deviations effecting the clinical accuracy and efficiency of …

In this paper, we present a clinical decision support system (CDSS) for the analysis of heart
failure (HF) patients, providing various outputs such as an HF severity evaluation, HF-type …

Accepted: 26 September 2021 In this paper we have utilized a hybrid lightweight 1D deep
learning model that combines convolutional neural network (CNN) and long short-term …

The medical device industry has grown rapidly and incessantly over the past century. The
sophistication and complexity of the designed instrumentation is nowadays rising and, with …

Congestive heart failure (CHF) is one of the most debilitating cardiac disorders. It is a costly
disease in terms of both lives and financial outlays, given the high rate of hospital re …