Latest AI and machine learning research in sports medicine for healthcare professionals.
With geotechnical engineering facing more complex environmental challenges, accurately predicting the mechanical behavior of rocks under dynamic loading becomes essential for maintaining structural safety. In this study, the dynamic compressive strength (DCS) of red sandstone samples under the coupled acidic wetting-drying cycles was investigated, and a dataset comprising 597 test results of exper...
The modernization of Traditional Chinese Medicine (TCM) faces considerable challenges, primarily due to the poor water solubility, low chemical stability, and limited oral bioavailability of its active components. These limitations hinder the translation of Natural Compounds from Chinese Herbal Medicine (NCCHMs) from basic research to clinical applications. Recently, the advent of DNA nanotechnolo...
Canadian radiology continues to produce scholarship that is technically sophisticated, clinically relevant, and increasingly attentive to the wider sy...
Facial paralysis severely changes the individual's life and enlarges the physician's need for precise analysis and grading of facial paralysis for app...
Acute kidney injury (AKI) is common in the intensive care unit (ICU), and fixed creatinine thresholds may miss clinically relevant dynamics. We tested...
Microbes play a vital role in healthcare, clinical microbiology, biotechnology, and environmental health, making their accurate detection and classifi...
BACKGROUND: While research on robotic rehabilitation has largely focused on evaluating device effectiveness, there remains a clear need to investigate...
BACKGROUND: Global rehabilitation needs far exceed capacity, and artificial intelligence (AI) is proposed to extend access, personalise therapy, and s...
Urban areas face increasing pressure from population growth and climate variability, which intensify flood risk and strain water-related infrastructur...
Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but early risk prediction remains imprecise. Radiomic...
BACKGROUND: Post-stroke aphasia is a prevalent and often disabling language impairment. Despite its high incidence, the neuropathological mechanisms u...
Clinical translation of novel therapies can be hindered by heterogeneity-driven sample size inflation in late-stage trials. In acetaminophen-induced l...
OBJECTIVE: Musculoskeletal dynamics influence the progression and rehabilitation of movement-related conditions. However, estimating whole-body dynami...
Adherence to home-based rehabilitation can support recovery after stroke, yet many patients disengage within the first few weeks. While prior studies ...
ABSTRACT: Scapholunate ligament injuries are the most common ligamentous injuries of the wrist and typically result from high-energy trauma, most ofte...
Quasi-static strain elastography is a non-invasive technique for estimating tissue stiffness fields from displacement fields obtained by comparing ult...
BACKGROUND: Clinical decision algorithms used by clinicians guide evidence-based decisions and actions. Automated tools can help with the adoption and...
Enthusiasm for artificial intelligence (AI) applications in rehabilitation medicine has accelerated rapidly, from 22 publications in 2015 to 1,449 in ...
Elbow injury rates are markedly higher among collegiate athletes than in the general population; however, this elevated incidence is largely driven by...
Accurate prediction of tensorial properties remains challenging because the target must satisfy coupled symmetry, rotational, and anisotropic constrai...