Ultrasound-Guided Intraosseous Injection of Bone Marrow Aspirate Concentrate for a Basketball Player With Bilateral Tibial Nonunion Fractures.

We present a case of a professional basketball player who suffered from nonunion bilateral chronic tibial fractures, successfully treated with ultrasound-guided intraosseous injection with bone marrow aspirate concentrate. The patient was able to return to play full time after recovery from the procedure.

BENNETT'S FRACTURE: A NARRATIVE REVIEW OF CURRENT LITERATURE.

Background: Bennett's fracture, a fracture-dislocation of the base of the first metacarpal, poses significant challenges due to the unique biomechanics of the thumb's carpometacarpal (CMC) joint. Effective management is critical to restoring thumb function and preventing long-term complications such as arthritis and instability.

Objective: This article provides a comprehensive overview of Bennett's fracture, including its mechanism of injury, diagnostic considerations, and management strategies, with a focus on conservative and surgical options.

Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time.

Background: Transcranial magnetic stimulation (TMS) interventions could feasibly treat stroke-related motor impairments, but their effects are highly variable. Brain state-dependent TMS approaches are a promising solution to this problem, but inter-individual variation in lesion location and oscillatory dynamics can make translating them to the poststroke brain challenging. Personalized brain state-dependent approaches specifically designed to address these challenges are needed.

The Influence of Vowels on the Identification of Spoken Disyllabic Words in the Malayalam Language for Individuals with Hearing Loss.

Background/objectives: The present study investigates the reasons for better recognition of disyllabic words in Malayalam among individuals with hearing loss. This research was conducted in three experiments. Experiment 1 measured the psychometric properties (slope, intercept, and maximum scores) of disyllabic wordlists.

Artificial intelligence enabled smart mask for speech recognition for future hearing devices.

In recent years, Lip-reading has emerged as a significant research challenge. The aim is to recognise speech by analysing Lip movements. The majority of Lip-reading technologies are based on cameras and wearable devices.

Telerehabilitation using a 2-D planar arm rehabilitation robot for hemiparetic stroke: a feasibility study of clinic-to-home exergaming therapy.

Background: We evaluated the feasibility, safety, and efficacy of a 2D-planar robot for minimally supervised home-based upper-limb therapy for post-stroke hemiparesis.

Methods: The H-Man, end effector robot, combined with web-based software application for remote tele-monitoring were evaluated at homes of participants. Inclusion criteria were: strokes > 28 days, Fugl-Meyer Motor Assessment (FMA) > 10-60/66, presence of a carer and absence of medical contraindications.

Patient-psychologist telemedicine interactions in an intensive care unit recovery clinic: Qualitative secondary analysis.

Objectives: We aimed to describe the content of patient-psychologist mental health related dialogues during a telemedicine intensive care unit recovery clinic visit.

Research Methodology/design: Qualitative descriptive study nested within a randomized controlled pilot trial to assess a telemedicine intensive care unit recovery clinic feasibility and preliminary efficacy. Participants included adults hospitalized with sepsis and/or respiratory failure.

Multi-disciplinary team approach for pediatric hemimegalencephaly: Insights from a single institutional case series.

Recent genetic studies have revealed that hemimegalencephaly (HME) is a multi-system disorder associated with germline or mosaic variants within the PI3K-mTOR-GATOR1 signaling pathways. Patients with HME typically develop drug-resistant epilepsy necessitating extensive evaluation, hemispherectomy, and long-term management. We describe the role of a multidisciplinary team (MDT) for the diagnosis and management of recent patients with HME at UCLA who underwent hemispherectomy.

Smart Physiotherapy: Advancing Arm-Based Exercise Classification with PoseNet and Ensemble Models.

Telephysiotherapy has emerged as a vital solution for delivering remote healthcare, particularly in response to global challenges such as the COVID-19 pandemic. This study seeks to enhance telephysiotherapy by developing a system capable of accurately classifying physiotherapeutic exercises using PoseNet, a state-of-the-art pose estimation model. A dataset was collected from 49 participants (35 males, 14 females) performing seven distinct exercises, with twelve anatomical landmarks then extracted using the Google MediaPipe library.

Generisch-Net: A Generic Deep Model for Analyzing Human Motion with Wearable Sensors in the Internet of Health Things.

The Internet of Health Things (IoHT) is a broader version of the Internet of Things. The main goal is to intervene autonomously from geographically diverse regions and provide low-cost preventative or active healthcare treatments. Smart wearable IMUs for human motion analysis have proven to provide valuable insights into a person's psychological state, activities of daily living, identification/re-identification through gait signatures, etc.

COVID-19 and Mortality in the Spinal Cord Injury Population: Examining the Impact of Sex, Mental Health, and Injury Etiology.

Background/objective: The purpose of this study was to investigate the impact of the COVID-19 pandemic on mortality rates in a community-dwelling spinal cord injury (SCI) population in Ontario.

Methods: Using health administrative databases, monthly mortality rates were evaluated pre-pandemic, during the pandemic, and post-pandemic from March 2014 to May 2024. Data were stratified by sex, injury etiology, and mental health status.

Evidence-Based Clinical Practice Guidelines on Regenerative Medicine Treatment for Chronic Pain: A Consensus Report from a Multispecialty Working Group.

Purpose: Injectable biologics have not only been described and developed to treat dermal wounds, cardiovascular disease, and cancer, but have also been reported to treat chronic pain conditions. Despite emerging evidence supporting regenerative medicine therapy for pain, many aspects remain controversial.

Methods: The American Society of Pain and Neuroscience (ASPN) identified the educational need for an evidence-based guideline on regenerative medicine therapy for chronic pain.

Therapeutic Exercise Recognition Using a Single UWB Radar with AI-Driven Feature Fusion and ML Techniques in a Real Environment.

Physiotherapy plays a crucial role in the rehabilitation of damaged or defective organs due to injuries or illnesses, often requiring long-term supervision by a physiotherapist in clinical settings or at home. AI-based support systems have been developed to enhance the precision and effectiveness of physiotherapy, particularly during the COVID-19 pandemic. These systems, which include game-based or tele-rehabilitation monitoring using camera-based optical systems like Vicon and Microsoft Kinect, face challenges such as privacy concerns, occlusion, and sensitivity to environmental light.

COVID-19 Vaccine Uptake among People with Spinal Cord Injury and Dysfunction in Ontario, Canada: A Population-Based Retrospective Cohort Study.

Persons with disabilities experience numerous barriers to healthcare access including vaccine accessibility. The purpose of this study was to determine COVID-19 vaccine uptake in the spinal cord injury and disease (SCI/D) population of Ontario and identify potential factors influencing C OVID-19 vaccine uptake. This was a retrospective closed-cohort study using administrative health data on individuals with SCI/D of traumatic and non-traumatic causes to examine the monthly number of COVID-19 vaccine doses received between December 2020 and December 2023.

Effects of Virtual Reality-Based Mirror Therapy on Upper Extremity Motor Function, Manual Performance and Gross Manual Dexterity Among Stroke Patients: A Meta-Analysis.

In recent years, innovative technologies have gained prominence in stroke patient rehabilitation worldwide, with virtual reality-based mirror therapy (VRBMT) emerging as a notable example. Hence, the present study aims to determine the efficacy of VRBMT on upper extremity motor function, manual performance, and gross manual dexterity among stroke patients. The systematic search utilized Population, Intervention, Comparison, Outcome, and Design (PICOD) paradigm, and the study searched was based on 2012-2023, utilizing different databases.

The Googling Effect on patient co-creation in physiotherapy service exchange.

We study the process of value co-creation in physiotherapist-patient relationships and the underlying mechanisms of this process. We present the Googling Effect Model outlining the relationship between patients' pre-encounter online information search and their commitment to compliance in physiotherapy service exchange. We tested the model on a sample of physiotherapy service patients (n = 446) in the United States.

Personalized whole-brain activity patterns predict human corticospinal tract activation in real-time.

Background: Transcranial magnetic stimulation (TMS) interventions could feasibly treat stroke-related motor impairments, but their effects are highly variable. Brain state-dependent TMS approaches are a promising solution to this problem, but inter-individual variation in lesion location and oscillatory dynamics can make translating them to the poststroke brain challenging. Personalized brain state-dependent approaches specifically designed to address these challenges are therefore needed.

Enhanced accuracy with Segmentation of Colorectal Polyp using NanoNetB, and Conditional Random Field Test-Time Augmentation.

Colonoscopy is a reliable diagnostic method to detect colorectal polyps early on and prevent colorectal cancer. The current examination techniques face a significant challenge of high missed rates, resulting in numerous undetected polyps and irregularities. Automated and real-time segmentation methods can help endoscopists to segment the shape and location of polyps from colonoscopy images in order to facilitate clinician's timely diagnosis and interventions.

Effects of preoperative respiratory muscle training for improvement of postoperative health related quality of life in mitral valve replacement patients.

Background And Purpose: A patient's defective mitral valve is replaced as part of a treatment called mitral valve replacement (MVR) with a mechanical or biological (bioprosthetic) valve. To evaluate the effects of preoperative respiratory muscle training (RMT) on the improvement of postoperative Health related quality of life in MVR patients.

Methods: A quasi-experimental study was conducted at Faisalabad Institute of Cardiology.

An integrated approach to neuroscience care: An innovative model to support the new integrated care system.

Integrated care systems join up health and care services, so that people have the support they need, in the right place, at the right time. The aims include improving outcomes in healthcare, tackling inequalities in access and enhancing productivity and value for money. This is needed for neuroscience care as the traditional delivery of neuroscience care is inefficient, outdated and expensive, and can involve complex referral pathways and long waiting times.

Structural bone grafting with reverse shoulder arthroplasty for osteoarthritis with severe glenoid bone loss: outcomes using a long post.

Background: Severe posterior glenoid bone loss with glenohumeral osteoarthritis with an intact rotator cuff can be managed with reverse shoulder arthroplasty but requires lateralization and version correction to avoid potential complications, such as instability, notching and implant failure. Angled bone grafting with humeral head autograft can provide durable glenoid bone stock, but results have been mixed. The purpose of this study was to evaluate patient-reported and objective outcomes as well as complication and failure rates for patients who underwent angled humeral head autografting for severe retroversion.

A Motion Capture Dataset on Human Sitting to Walking Transitions.

Sit-to-walk (STW) is a crucial daily task that impacts mobility, independence, and thus quality of life. Existing repositories have limited STW data with small sample sizes (n = 10). Hence, this study presents a STW dataset obtained via the time-up-and-go test, for 65 healthy adults across three age groups - young (19-35 years), middle (36-55 years) and older (above 56 years).

Unraveling phenotypic heterogeneity in stanford type B aortic dissection patients through machine learning clustering analysis of cardiovascular CT imaging.

Objective: Aortic dissection remains a life-threatening condition necessitating accurate diagnosis and timely intervention. This study aimed to investigate phenotypic heterogeneity in patients with Stanford type B aortic dissection (TBAD) through machine learning clustering analysis of cardiovascular computed tomography (CT) imaging.

Methods: Electronic medical records were collected to extract demographic and clinical features of patients with TBAD.