The evaluation of verbal memory is a core component of neuropsychological assessment in a wide range of clinical and research settings. Leveraging story recall to assay neurocognitive function could be made more useful if it were possible to administer frequently (i.e., would allow for the collection of more patient data over time) and automatically assess the recalls with machine learning methods. ...

<b>Background</b> <br> Qualitative research findings are increasingly used to inform decision-making. Research has indicated that not all quantitative research on the effects of interventions is disseminated or published. The extent to which qualitative researchers also systematically underreport or fail to publish certain types of research findings, and the impact this may have, has received ...

Objective - To validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population.<p> <p>Background - LVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived AI-ECG to detect LVSD using ECGs based on a large sample of patients treated at the Mayo Clinic.<p> <p>Methods ...

<i>Purpose</i>: The aim of our study was an external validation of the extracranial prognostic score predicting survival of patients with brain metastases receiving cranial irradiation on data from a single institution.<p> <p><i>Materials and methods</i>: A retrospective analysis of 524 patients with brain metastases treated with cranial radiotherapy in a single tertiary center was performed. ...

Extracellular vesicles (EVs)—particularly exosomes and microvesicles (MVs)—are attracting considerable interest in the cardiovascular field as the wide range of their functions is recognized. These capabilities include transporting regulatory molecules including different RNA species, lipids, and proteins through the extracellular space including blood and delivering these cargos to recipient ...

The aim of this study is to extract indicators that are associated with the heat/nonheat and excess/deficiency patterns in stroke pattern identification through the large-scale analysis of clinical data. Two experts, who had more than three years of clinical experience with stroke, independently performed the pattern identification. We analyzed indicators of clinical data with two doctors’ ...

Introduction: Acute lung injury is associated with accumulation of extravascular lung water (EVLW). The aim of the present study was to compare two methods for quantification of EVLW: transpulmonary single thermodilution (EVLWST) and postmortem gravimetric (EVLWG). Methods: Eighteen instrumented and awake sheep were randomly assigned to one of three groups. All groups received Ringer's ...

Purpose: To explore healthcare professionals’ experiences with facilitating a safe and caring atmosphere in patients’ everyday lives in forensic mental health wards.<p> <p>Methods: This qualitative study employed interviews with 16 healthcare professionals working shifts in two forensic mental healthcare wards in Norway. Data were analysed using phenomenological hermeneutic analysis. <p>Results: ...