Medic

OBJECTIVE: Impact kinematics are widely employed to investigate mechanisms of traumatic brain injury (TBI). However, they are susceptible to noise and artefacts; thus, require data filtering. Few studies have focused on how data filtering affects brain strain most relevant to TBI. Here, we report that impact-induced brain strains are much less sensitive to data filtering than kinematics based on three filtering methods: CFC180, lowpass 200Hz, and a new method called Head Exposure to Acceleration Database in Sport (HEADSport)...

In the field of medical imaging, the fusion of data from diverse modalities plays a pivotal role in advancing our understanding of pathological conditions. Sparse representation (SR), a robust signal modeling technique, has demonstrated noteworthy success in multi-dimensional (MD) medical image fusion. However, a fundamental limitation appearing in existing SR models is their lack of directionality, restricting their efficacy in extracting anatomical details from different imaging modalities. To tackle this issue, we propose a novel directional SR model, termed complex sparse representation (ComSR), specifically designed for medical image fusion...

Identification of seizure sources in the brain is of paramount importance, particularly for drug-resistant epilepsy patients who may require surgical operation. Interictal epileptiform discharges (IEDs), which may or may not be frequent, are known to originate from seizure networks. Delayed responses (DRs) to brain electrical stimulation have been recently discovered. If DRs and IEDs come from the same location and the DRs can be accurately localized, there will be a significant step in identification of the seizure sources...

Individuals with neurological disorders often exhibit altered manual dexterity and muscle weakness in their upper limbs. These motor impairments with tremor lead to severe difficulties in performing Activities of Daily Living (ADL). There is a critical need for ADL-focused robotic training that improves individual's strength when engaging with dexterous ADL tasks. This research introduces a new approach to training ADLs by employing a novel robotic rehabilitation system, Spherical Parallel INstrument for Daily Living Emulation (SPINDLE), which incorporates Virtual Reality (VR) to simulate ADL tasks...

Emotion recognition from electroencephalogram (EEG) signals is a critical domain in biomedical research with applications ranging from mental disorder regulation to human-computer interaction. In this paper, we address two fundamental aspects of EEG emotion recognition: continuous regression of emotional states and discrete classification of emotions. While classification methods have garnered significant attention, regression methods remain relatively under-explored. To bridge this gap, we introduce MASA-TCN, a novel unified model that leverages the spatial learning capabilities of Temporal Convolutional Networks (TCNs) for EEG emotion regression and classification tasks...

Human activity recognition has played a crucial role in healthcare information systems due to the fast adoption of artificial intelligence (AI) and the internet of thing (IoT). Most of the existing methods are still limited by computational energy, transmission latency, and computing speed. To address these challenges, we develop an efficient human activity recognition in-memory computing architecture for healthcare monitoring. Specifically, a mechanism-oriented model of Ag/a-Carbon/Ag memristor is designed, serving as the core circuit component of the proposed in-memory computing system...

Proximal femoral fracture segmentation in computed tomography (CT) is essential in the preoperative planning of orthopedic surgeons. Recently, numerous deep learning-based approaches have been proposed for segmenting various structures within CT scans. Nevertheless, distinguishing various attributes between fracture fragments and soft tissue regions in CT scans frequently poses challenges, which have received comparatively limited research attention. Besides, the cornerstone of contemporary deep learning methodologies is the availability of annotated data, while detailed CT annotations remain scarce...

Purpose: To report the first case of uveitis-glaucoma-hyphema (UGH) syndrome post implantable collamer lens (ICL). Methods: Case report Results: A 41-year-old female presented to our clinic complaining of bilateral eye pain and redness for two weeks. Her past medical history was significant for ICL, in both eyes and multiple sclerosis controlled with treatment. She had a long-standing history of bilateral recurrent uveitis and glaucoma. Ultrasound biomicroscopy revealed several sulcus cysts displacing the ICLs haptic into the ciliary body, leading to iris abrasion and uveitis-glaucoma-hyphema syndrome...

OBJECTIVE: To determine the association of cardiovascular atherosclerotic plaque monosodium urate deposits with the occurrence of major cardiovascular events in gout and hyperuricemia patients. METHODS: This retrospective cohort study included patients with clinically suspicion of gout, who performed a dual energy computed tomography of the affected limb and thorax between June 1st, 2012 and December 5th, 2019. Clinical and laboratory parameters were retrieved from patientś charts...

In response to decreasing numbers of individuals entering into nephrology fellowships, the American Society of Nephrology launched Kidney TREKS (Tutored Research and Education for Kidney Scholars) to stimulate interest in nephrology among medical students, graduate students, and postdoctoral fellows. The program combines a one-week intensive exposure to kidney physiology with a longitudinal mentorship program at the participants' home institutions. Ten years in, an analysis was conducted to assess its effectiveness...

BACKGROUND: Schools in the United Kingdom and elsewhere are expected to protect and promote pupil mental health. However, many school staff members do not feel confident in identifying and responding to pupil mental health difficulties and report wanting additional training in this area. OBJECTIVE: We aimed to explore the feasibility of Kognito's At-Risk for Elementary School Educators, a brief, interactive web-based training program that uses a simulation-based approach to improve school staff's knowledge and skills in supporting pupil mental health...

BACKGROUND AND AIM: In this study, we used a national cohort of patients with Wilson's disease (WD) to investigate the admissions, mortality rates, and costs over the captured period to assess specific subpopulations at higher burden. METHODS: Patients with WD were selected using 2016-2019 National Inpatient Sample (NIS). The weighted estimates and patient data were stratified using demographics and medical characteristics. Regression curves were graphed to derive goodness-of-fit for each trend from which R2 and P values were calculated...

OBJECTIVE: Intestinal ultrasound (IUS) is an emerging modality for assessing disease activity, extent, and treatment response in ulcerative colitis. This study aimed to evaluate the potential of IUS in predicting severe flares, the need for rescue therapy (corticosteroid failure), and colectomy in patients with ulcerative colitis. METHODS: We conducted a retrospective review of medical records, collecting clinical and IUS data. The Milan Ultrasound Criteria (MUC) score was used to assess ulcerative colitis severity...

BACKGROUND: Hospital-based residential aged-care support service teams typically consist of doctors and nurses who provide hospital substitutive care to aged-care residents. There is limited literature evaluating the pharmacist's role in such aged-care support teams. OBJECTIVE: To analyse the effect of residential aged-care support service pharmacist-led medication reviews on polypharmacy, drug burden index, potentially inappropriate medications, and potential prescribing omissions for aged-care residents...

BACKGROUND: Since fall 2020, mobile health (mHealth) apps have become an integral part of the German health care system. The belief that mHealth apps have the potential to make the health care system more efficient, close gaps in care, and improve the economic outcomes related to health is unwavering and already partially confirmed. Nevertheless, problems and barriers in the context of mHealth apps usually remain unconsidered. OBJECTIVE: The focus groups and interviews conducted in this study aim to shed light on problems and barriers in the context of mHealth apps from the perspective of patients...

STUDY OBJECTIVES: Low-sodium oxybate (LXB; calcium, magnesium, potassium, and sodium oxybates; Xywav) contains the same active moiety as high-sodium oxybates (sodium oxybate [SXB; Xyrem] and fixed-dose sodium oxybate [Lumryz]), with 92% less sodium, and is approved in the US for treatment of cataplexy or excessive daytime sleepiness in patients 7 years of age and older with narcolepsy, and idiopathic hypersomnia in adults. Patients with narcolepsy have increased cardiovascular risk relative to people without narcolepsy...

IMPORTANCE: Numerous studies have provided evidence for the negative associations of the COVID-19 pandemic with mental health, but data on the use of psychotropic medication in children and adolescents after the onset of the COVID-19 pandemic are lacking. OBJECTIVE: To assess the rates and trends of psychotropic medication prescribing before and over the 2 years after the onset of the COVID-19 pandemic in children and adolescents in France. DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used nationwide interrupted time-series analysis of outpatient drug dispensing data from the IQVIA X-ponent database...

BACKGROUND: The role of current pharmacological treatment after laparoscopic sleeve gastrectomy (LSG) is limited. The incidence of postoperative nausea and vomiting (PONV) after LSG remains high. Auricular acupressure (AA) is believed to relieve PONV after laparoscopic surgeries, but its role in patients with obesity after LSG has yet to be confirmed. METHODS: Ninety-five female patients who underwent LSG were randomized into two groups: AA combined with conventional anti-nausea medication (AA group, 47 patients) or conventional anti-nausea medication group (control group, 48 patients)...

Cancer screening behaviors in Muslims are under-researched, and there is limited data on how it relates to their unique cultural and religious beliefs. We assessed cancer prevention and screening-related health needs in the Washington DC area. We developed the needs assessment questionnaires and recruitment strategy in collaboration with key faith leaders from four mosques in our catchment area. A total of 203 participants were recruited through community outreach and engagement approaches and were included in the discussion when developing the needs assessment to ensure questions were religiously and culturally sensitive...

PURPOSE: Work-related low back pain (WRLBP) is a highly prevalent health problem worldwide leading to work disability and increased healthcare utilisation. General practitioners (GPs) play an important role in the management of WRLBP. Despite this, understanding of GP service use for WRLBP is limited. This systematic review aimed to determine the prevalence, patterns and determinants of GP service use for WRLBP. METHODS: MEDLINE, Embase via Ovid, Scopus and Web of Science were searched for relevant peer-reviewed articles published in English without any restriction on time of publications...