Latest AI and machine learning research in sports medicine for healthcare professionals.
Stable diffusion models represent the state-of-the-art in data synthesis across diverse domains and hold transformative potential for applications in science and engineering, e.g., by facilitating the discovery of novel solutions and simulating systems that are computationally intractable to model explicitly. However, their current utility in these fields is severely limited by an inability to e...
Modeling humans in physical scenes is vital for understanding human-environment interactions for applications involving augmented reality or assessment of human actions from video (e.g. sports or physical rehabilitation). State-of-the-art literature begins with a 3D human pose, from monocular or multiple views, and uses this representation to ground the person within a 3D world space. While stan...
Rehabilitation following a stroke faces challenges in offering customized treatment and attaining the best possible outcomes. The utilization of artif...
Background Deep learning (DL) methods enable faster shoulder MRI than conventional methods, but arthroscopy-validated evidence of good diagnostic perf...
To ensure the quality of care for inpatients in ophthalmic hospitals, address the complex and variable conditions of postoperative patients, and condu...
Robot caregiving should be personalized to meet the diverse needs of care recipients -- assisting with tasks as needed, while taking user agency in ...
This study forms the basis of a digital twin system of the knee joint, using advanced quantitative MRI (qMRI) and machine learning to advance precis...
Lower-Limb Fractures (LLF) are a major health concern for older adults, often leading to reduced mobility and prolonged recovery, potentially impair...
Confidence in the results is a key ingredient to improve the adoption of machine learning methods by clinicians. Uncertainties on the results have b...
Accurate human posture classification in images and videos is crucial for automated applications across various fields, including work safety, physi...
Through participatory design, we are developing a computational system for the semi-automated assessment of the Action Research Arm Test (ARAT) for ...
An integrated multi-modal characterization of a microbial strain library streamlines the effort for natural product discovery. By integrating language...
Bacteria use antagonistic interbacterial weapons such as polymorphic toxin secretion systems (TSS) to compete for niches in the human gut microbiome. ...
This study systematically investigates gender differences in lower body biomechanics using high-resolution motion capture data from male and female pa...
Electroencephalograms (EEGs) are time-series records of the electrical potential from collective neural activity in the brain. EEG waveform patterns—r...
Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many mammals. It normally maintains a commensal lifestyl...
Human skin, the body’s largest organ, plays a vital role in sensing and transmitting neuronal, mechanical, and biochemical signals, making it an essen...
Stroke rehabilitation requires continuous, individualized assessment of recovery progress to optimize treatment planning. Existing prognosis models of...
Astrocytes regulate the activity of nearby neurons so disruption of astrocyte calcium dynamics by traumatic brain injury (TBI) could have profound con...
Epidemiological surveillance of Neisseria gonorrhoeae is hindered by the limitations of existing molecular typing methods, such as NG-MAST and MLST, w...