Latest AI and machine learning research in exercise & fitness for healthcare professionals.
OBJECTIVE: Patients with osteoarthritis (OA) affecting multiple joints experience greater pain than those with single-joint disease, yet most research examines isolated joints, leaving a gap in multi-joint disease. This study aimed to describe radiographic hip (rHOA) and knee OA (rKOA) within UK Biobank (UKB), exploring interrelationships across joints and associations with joint pain, body size, ...
BACKGROUND: Gestational diabetes mellitus (GDM) is associated with adverse pregnancy outcomes and long-term metabolic and cardiovascular risk. However, oral glucose tolerance testing at 24-28 gestational weeks limits early risk stratification. Gut microbiota-associated metabolites may reflect early metabolic abnormalities, including those relevant to cardiometabolic health, but robust early-pregna...
Artificial intelligence (AI) is playing an increasingly central role in drug discovery and the pharmaceutical industry more broadly. However, despite ...
BACKGROUND: The medical black bag is synonymous with physicians, especially general practitioners, who are expected to be ready to provide care across...
BACKGROUND AND AIM: Atrial fibrillation (AF) affects over 37 million people internationally and confers increased risk of cardiovascular conditions. P...
BACKGROUNDS AND OBJECTIVES: Childhood obesity and respiratory tract infections (RTIs) are 2 major global public health issues that frequently co-occur...
Regular physical activity preserves functional independence in older adults, yet care-home residents often miss out because personalized supervision i...
PURPOSE: Although generative artificial intelligence (GenAI) has increasingly reshaped academic research practices, existing studies have mainly exami...
Using two-sample Mendelian randomization (MR) based on GWAS data from the IEU OpenGWAS project and a retrospective clinical cohort, this study investi...
BACKGROUND: Chronic diseases account for approximately 90% of the $4.5 trillion annual healthcare expenditure in the United States. While traditional ...
BACKGROUND: The World Health Organization (WHO) launched a Rehabilitation 2030 initiative to call for global action to scale up rehabilitation efforts...
Postoperative nausea and vomiting (PONV) is a frequent and serious complication after surgery. PONV also reduces patient satisfaction with surgery und...
Hypertension has traditionally been defined and managed according to brachial blood pressure levels. Although this pressure-centric strategy has signi...
Task difficulty is an important factor in the acquisition of a novel motor skill. When presented with challenging tasks, participants may control task...
MOTIVATION: Deep learning methods have demonstrated significant potential in genomics, enabling broad applications such as sequence activity predictio...
OBJECTIVE: This study aimed to develop a machine learning (ML) framework to predict incident type 2 diabetes mellitus (T2DM) using routinely available...
OBJECTIVE: Tailoring postoperative opioid recommendations to patient needs requires nuanced understanding of factors contributing to post-discharge op...
Large-scale ecological restoration is increasingly promoted as a strategy for environmental sustainability, but its implications for population health...
AIMS: Some studies have explored associations between physical activity (PA) and hypoglycaemia in real-life in type 1 diabetes (T1D) but without fully...
BACKGROUND: Real-time anatomical recognition during robot-assisted surgery has the potential to enrich intraoperative decision-making. We made the fir...