Latest AI and machine learning research in exercise & fitness for healthcare professionals.
BACKGROUND: The quality assessment of personalized exercise prescriptions is currently hampered by the subjectivity and inefficiency of traditional rating scales. Artificial intelligence (AI) presents a transformative opportunity for objective, scalable evaluation. OBJECTIVES: This pilot study aimed to develop an AI-assisted evaluation framework and assess the feasibility, reliability, and efficie...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in healthcare to support decision-making, personalize treatment, and improve outcomes. In spine care, AI has been used for both operative and nonoperative interventions, including surgical planning, outcome prediction, and digital tools for chronic low back pain (cLBP). However, evidence remains fragmented and variable in quality, li...
PURPOSE: High-sensitivity, total-body (TB) positron emission tomography (PET) and computed tomography (CT) imaging systems enable substantial reductio...
AIMS/HYPOTHESIS: Available methods for predicting the onset and progression of diabetic kidney disease (DKD) and end-stage kidney disease (ESKD) are n...
The recent wave of recreational cannabis legalization in the US has underscored the importance of identifying predictors of individual variability in ...
BACKGROUND: Periacetabular osteotomy (PAO) is widely used to treat symptomatic hip dysplasia; however, the long-term effect of age at PAO on patient-r...
BACKGROUND: Digital Twins (DTs) have transitioned from theory to reality, with growing applications in healthcare. Data generated by technologies (e.g...
PURPOSE: Glucose homeostasis relies on coordinated interactions among multiple organs, and its disruption relates to diabetes development. This study ...
BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The purpose of this investigation is to develop machin...
BACKGROUND CONTEXT: Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preve...
BACKGROUND: Depressive symptoms and multiple chronic diseases (MCDs) significantly contribute to the global disease burden among middle-aged and older...
BACKGROUND: Age-related mechanisms underlying habitual low-back pain (LBP) remain poorly defined, with most studies pooling heterogeneous populations ...
Determination of cardiac output (CO) is essential to the clinical management of cardiovascular compromise. However, the invasiveness, procedural risks...
The voltage-gated sodium channel Nav1.6, encoded by the sodium voltage-gated channel alpha subunit 8 gene, is a crucial regulator of neuronal excitabi...
Generative Adversarial Networks (GANs) have demonstrated remarkable success in high-quality image synthesis, with StyleGAN and its successor, StyleGAN...
BACKGROUND: Although healthy lifestyle behaviours are associated with a lower risk of psoriasis, the underlying metabolic mechanisms remain unclear. O...
Eggs, a key dietary staple globally, are valued for their high nutritional content. However, the safety of eggshells is often compromised by microbial...
The need for comprehensive equine welfare assessments has become particularly evident amid ongoing debates about the social licence to operate in eque...
The growing heterogeneity of cardiac patient data from hospitals and wearables necessitates predictive models that are tailored, comprehensible, and s...
Multi-Agent Deep Reinforcement Learning(MADRL) faces significant challenges in exploration-exploitation trade-off during training, particularly when l...