Latest AI and machine learning research in orthopedics for healthcare professionals.
High-resolution 3D imaging is an important strategy for visualizing and analysing complex skeletal tissue architecture and the bone marrow microenvironment. However, multicolor immunolabeling and imaging of intact skeletal tissues are technologically challenging. The current immunolabeling and clearing methods for intact skeletal elements are very limited, time-consuming and generate low-resolutio...
Energy expenditure (EE) during running depends on the interplay between active muscle work and elastic energy storage and return, yet the relative contribution of mechanical power to EE remains debated. Quantifying the relative contributions of segment-level mechanical power can provide a way to address this debate. In this study, we aimed to quantify how segment-level mechanical power contributes...
Background: Multiple myeloma (MM) progression is accompanied by remodeling of the bone marrow immune microenvironment. Local interactions among malign...
Quantitative gait analysis could enhance personalized treatment for many movement-related conditions; however, it is not routinely integrated into cli...
Background and objectives: In recent years, the need to develop analytical strategies for healthy aging has assumed great importance. In this study, w...
Many biological characteristics arise by interactions between more than one biological organism or unit. Fertilization success in sexually reproducing...
This paper studies the problem of learning a joint distribution from marginal observations, which is inherently ill-posed due to the ambiguity of feas...
Automated segmentation of cervical-spine MRI is increasingly used in clinical workflows, yet no fairness audit exists for this anatomy. We show that a...
We present DynaVelo, a generative neural ordinary differential equation model that learns the joint dynamics of gene expression and transcription fact...
Imaging demand is growing faster than the radiology workforce can expand, and reporting backlogs cannot be resolved through training and recruitment a...
Background: Poor glycemic control is associated with cardiovascular disease (CVD) risk. However, it is unknown whether glycemic control is related to ...
Glaucoma is a leading cause of irreversible blindness worldwide, yet most automated diagnosis systems rely on opaque deep-learning models that offer l...
Personalizing text-to-image diffusion models to render several specific subjects in a coherent image remains challenging: the model must preserve each...
The diagnosis of spinal diseases is often assisted by 3D imaging techniques in clinical practice. However, precise 3D spinal assessment is limited by ...
Wearable inertial measurement units (IMUs) provide a practical and objective approach for gait assessment in clinical populations. Although several ha...
Inferring orthologs and annotating coding genes remain central challenges in genomics, evident by the growing gap between assembled and annotated geno...
The clinical utility of monitoring longitudinal changes in musculoskeletal trajectories, including bone mineral density (BMD), muscle strength, height...
Counterfactual explanations (CEs) for multivariate time-series classifiers are often difficult to interpret in domains where experts reason in terms o...
Accelerated magnetic resonance imaging reduces acquisition time, but reconstruction from undersampled k-space can blur diagnostically relevant structu...
Ampullary electroreceptors are widespread across aquatic vertebrates. The purpose of sensing exogeneous electric fields is conserved across species bu...