Latest AI and machine learning research in sports medicine for healthcare professionals.
Motor imagery (MI) electroencephalography (EEG) decoding could support post-stroke rehabilitation, but models developed on healthy cohorts may not transfer reliably to pathological EEG. We evaluated whether Low-Rank Adaptation (LoRA) can efficiently adapt three pretrained EEG foundation models (i.e., LaBraM-base, REVE-base, and REVE-large) for binary left- versus right-hand MI decoding. Frozen-bac...
Breast cancer survivors frequently experience upper-limb impairments, making continuous monitoring essential for effective rehabilitation. We propose REINA (Recognize-Then-Infer Wearable-to-App AI Framework), a two-stage deep-learning approach for remote monitoring of motor function during breast cancer rehabilitation using wearable-device data. Inertial measurement unit (IMU) signals from wearabl...
Real-time musculoskeletal (MSK) surrogates could support personalized rehabilitation for children with cerebral palsy (CP), but their credibility depe...
Acinetobacter baumannii is a high priority Gram negative opportunistic pathogen known for its high rates of multidrug resistance (MDR). Minocycline (M...
Existing action quality assessment (AQA) datasets and methods rely primarily on visual inputs such as RGB and pose, overlooking physiological dynamics...
Functionalities of ferroelectric materials are governed by the spatial organization and coupling of polarization, strain, lattice rotation, and struct...
Modern transmission electron microscopes are versatile instruments which have become indispensable tools for understanding structure and chemical comp...
Autonomous rehabilitation systems must not only recognize human motion but also provide structured feedback to support users without continuous therap...
Background & Aims: Haematoxylin and eosin (H&E) staining remains the diagnostic gold standard for solid cancers, including hepatocellular carcinoma, a...
The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drift, necessitating precise antigenic prediction for ...
Myocardial strain analysis of cardiac magnetic resonance (CMR) images provides an important tool for evaluating cardiac function. However, current tec...
Background: White matter hyperintensities (WMH) represent the most visible manifestation of cerebral small vessel disease and of white matter patholog...
Background: Acute kidney injury (AKI) is a severe complication in intensive care units, frequently exacerbated by synergistic nephrotoxicity from drug...
Gut microbial structural variation captures strain-level genomic diversity beyond species abundance, yet its contribution to rheumatoid arthritis (RA)...
Robust out-of-the-box performance is essential for the clinical deployment of deep learning models in medical imaging. An important but underexplored ...
Rehabilitation scoring systems are most useful when their outputs can be reviewed and interpreted within clinical workflows. This study presents Phase...
The genus Pseudomonas consists of diverse and ecologically significant species that form close associations with both plants and animals. This genus i...
Background: Apical sparing of left ventricular longitudinal strain (LS) is an echocardiographic clue to cardiac amyloidosis but may also occur in hype...
Abstract Background Despite a rising global psychiatric burden, a treatment gap persists where the majority of symptomatic individuals remain unmedica...
Traumatic brain injury (TBI) triggers widespread biomarker activation, including astrocytic markers such as glial fibrillary acidic protein (GFAP) and...