Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …

Objective This study investigates the feasibility of delivering inspiratory muscle training as part of the physical therapy treatment for patients with post-COVID dyspnoea. Design Mixed-methods pilot study. Subjects/patients Patients with complaints of dyspnoea after COVID-19 infection and their physical …

Acquired brain injury (ABI) is a leading cause of disability in adults worldwide, resulting in physical and cognitive challenges. Rehabilitation is often prescribed depending on the symptoms and severity of the injury. Technologies like robotics, wearables, and extended reality (XR) have been explored …

Purpose The majority of older patients, scheduled for a cardiac procedure, do not adhere to international dietary intake and physical activity guidelines. The purpose of this study was to explore barriers and facilitators regarding dietary intake and physical activity behaviour change in older patients …

Background: Ventilation with lower positive end–expiratory pressure (PEEP) may cause loss of lung aeration in critically ill invasively ventilated patients. This study investigated whether a systematic lung ultrasound (LUS) scoring system can detect such changes in lung aeration in a study comparing …

Purpose:  This systematic review aimed to provide a comprehensive overview of the validity and reliability of existing measurement instruments for quantifying head and neck lymphedema.  Methods:  Four databases were searched on January 31st, 2022. The COnsensus-based Standards for selecting health Measurement …

BACKGROUND: Families are introduced as new partners in interprofessional communication and collaboration during hospitalisation of an adult patient. Their introduction into the healthcare team has consequences for the roles and responsibilities of all healthcare professionals. Role clarification is thus …

The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac …

The aim of this study was to describe patients' experiences of, and preferences for, surgical wound care discharge education and how these experiences predicted their ability to self-manage their surgical wounds. A telephone survey of 270 surgical patients was conducted across two hospitals two weeks …

The COVID–19 pandemic led to local oxygen shortages worldwide. To gain a better understanding of oxygen consumption with different respiratory supportive therapies, we conducted an international multicenter observational study to determine the precise amount of oxygen consumption with high-flow nasal …