A5034401148- Traumatic Brain Injury Research
- Balance, Gait, and Falls Prevention
- Cerebral Palsy and Movement Disorders
- Traumatic Brain Injury and Neurovascular Disturbances
- Injury Epidemiology and Prevention
- Cardiac Arrest and Resuscitation
- Stroke Rehabilitation and Recovery
- Health Systems, Economic Evaluations, Quality of Life
- Artificial Intelligence in Healthcare and Education
- Heart Rate Variability and Autonomic Control
- Mobile Health and mHealth Applications
- Muscle activation and electromyography studies
- Winter Sports Injuries and Performance
- Telemedicine and Telehealth Implementation
- Diabetic Foot Ulcer Assessment and Management
- Digital Mental Health Interventions
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Artificial Intelligence in Healthcare
- Sports injuries and prevention
- Cardiovascular and exercise physiology
- Biomedical and Engineering Education
- Computational Drug Discovery Methods
- Delphi Technique in Research
- Phonocardiography and Auscultation Techniques
- Sports Performance and Training
University of Stirling
2024-2025
Northumbria University
2020-2024
University Ucinf
2021
Check for updatesThe critical role of biomarkersA key pillar healthcare's journey towards precision medicine has been the proliferation and development biomarkers to detect, monitor manage disease.Over last fifty years, healthcare seen a rapid acceleration in discovery traditional variety conditions, including cancer, namely Carcinoembryonic antigen (CEA), 1980s, CA15-3 breast cancer 1 (Fig. 1).Biomarkers remain crucial source data insight early detection diagnosis, assessing response...
Enabled by the rapid rise in data collected technologies, Digital Biomarkers (DBx) have emerged as a novel mechanism for assessment, diagnosis, and monitoring. However, exponential growth ability to generate new has also raised questions about ways of ensuring authenticity accuracy digital data. A recent study highlights how Large Language Models (LLMs) generating human-like content amplify these risks, propose watermarking scalable solution ensure integrity. This article examines potential...
Generalist AI systems in healthcare can handle multiple complex clinical tasks, unlike narrow tools that perform isolated functions. However, current payment struggle to capture the value of these integrated capabilities. We examine potential solutions, including value-based and tiered structures, balancing innovation, equitable access, continuous performance evaluation, cost-effectiveness realize generalist AI's transformative potential.
Wearable artificial intelligence (AI) technologies show promise in healthcare, with early applications demonstrating diverse benefits for patient safety. These systems go beyond traditional data collection, using advanced algorithms to provide real-time clinical guidance. From infectious disease monitoring AI-powered surgical assistance, these enable proactive, personalized care while addressing critical safety gaps. However, successful implementation requires careful consideration of...
Abstract Background Falls in older adults are a critical public health problem. As means to assess fall risks, free-living digital biomarkers (FLDBs), including spatiotemporal gait measures, drawn from wearable inertial measurement unit (IMU) data have been investigated identify those at high risk. Although gait-related FLDBs can be impacted by intrinsic (e.g., impairment) and/or environmental walking surfaces) factors, their respective impacts not differentiated the majority of risk...
Objective Vestibular/ocular deficits occur with mild traumatic brain injury (mTBI). The vestibular/ocular motor screening (VOMS) tool is used to assess individuals post-mTBI, which primarily relies upon subjective self-reported symptoms. Instrumenting the VOMS (iVOMS) technology may allow for more objective assessment reflects actual task performance. This study aimed validate iVOMS analytically and clinically in mTBI controls. Methods Seventy-nine people sub-acute (<12 weeks post-injury)...
Diagnostics play a crucial role in screening, detecting, and stratifying patients, yet can account for only 2–3% of healthcare spending. With advancements wearable technology direct-to-consumer testing, the market consumer health continues to rise. The potential benefits more holistic continuous measurement offer promising opportunity earlier disease detection proactive management. Many systems are parallel transition from legacy analogue approaches digitally enabled infrastructures....
The Sports Concussion Assessment Tool (SCAT) is a pen and paper-based evaluation tool for use by healthcare professionals in the acute of suspected concussion. Here we present feasibility study towards instrumented SCAT (iSCAT). Traditionally, professional subjectively counts errors according to marking criteria matrix. It hypothesized that an version test will be more accurate while providing additional digital-based parameters better inform player management. focuses on physical...
Mild traumatic brain injury (mTBI or concussion) is receiving increased attention due to the incidence in contact sports and limitations with subjective (pen paper) diagnostic approaches. If an mTBI undiagnosed athlete prematurely returns play, it can result serious short-term and/or long-term health complications. This demonstrates importance of providing more reliable tools mitigate misdiagnosis. Accordingly, there a need develop efficient objective approaches computationally robust...
Abstract Background Physical function remains a crucial component of mild traumatic brain injury (mTBI) assessment and recovery. Traditional approaches to assess mTBI lack sensitivity detect subtle deficits post-injury, which can impact patient’s quality life, daily lead chronic issues. Inertial measurement units (IMU) provide an opportunity for objective physical be used in any environment. A single waist worn IMU has the potential broad/macro quantity characteristics estimate gait...
Pragmatic challenges remain in the monitoring and return to play (RTP) decisions following suspected Sports Related Concussion (SRC). Reliance on traditional approaches (pen paper) means players readiness for RTP is often based self-reported symptom recognition as a marker full physiological recovery. Non-digital also limit opportunity robust data analysis which may hinder understanding of interconnected nature relationships deficit Digital provide more objectivity measure monitor...
<h3>Objective</h3> SRC diagnosis utilises clinical judgement [1–3], and is often supported by the Sports Concussion Assessment Tool (SCAT5). The use of pragmatic accessible/scalable digital tools may improve understanding interconnected relationships in deficits [4–7]. Our aim was to explore comparison SCAT5 outcomes used a single clinician assess 50 university athletes. <h3>Design</h3> Observational <h3>Setting</h3> University Northeast England <h3>Participants</h3> 30 with history (21.7...