Latest AI and machine learning research in orthopedics for healthcare professionals.
Gait analysis provides an objective characterization of locomotor function and is widely used to support diagnosis and rehabilitation monitoring across neurological and orthopedic disorders. Deep learning has been increasingly applied to this domain, yet most approaches rely on supervised classifiers trained on disease-labeled data, limiting generalization to heterogeneous pathological presentatio...
High inpatient opioid exposure is associated with increased risk of persistent opioid use. Early identification of high-risk patients may improve opioid stewardship. We developed machine learning models to predict high opioid exposure during hospitalization using electronic health record data from MIMIC-IV. We conducted a retrospective study of 223,452 unique first hospital admissions in MIMIC-IV....
Domain generalization in fundus imaging is challenging due to variations in acquisition conditions across devices and clinical settings. The inability...
Accurate MRI-to-CT synthesis could enable MR-only pelvic workflows by providing CT-like images with bone details while avoiding additional ionizing ra...
Diffusion models have made significant progress in both text-to-image (T2I) generation and text-guided image editing. However, these models are typica...
Background: Diagnosing the over 700 known rare bone diseases (RBDs) is inherently challenging and often requires extensive time and multiple clinical ...
Age-related cognitive decline reflects progressive atrophic changes that advance through broad neural networks. There is no effective treatment. Howev...
Hydrogels are increasingly recognized as promising therapeutics for arthritic joints, extending their traditional role as mechanical lubricants to mod...
This study assesses whether self-supervised learning (SSL) improves knee osteoarthritis (OA) modeling for diagnosis and prognosis relative to ImageNet...
Face images captured in real-world low light suffer multiple degradations-low illumination, blur, noise, and low visibility, etc. Existing cascaded so...
Quantifying human movement (kinematics) and musculoskeletal forces (kinetics) at scale, such as estimating quadriceps force during a sit-to-stand move...
Controlling video and audio generation requires diverse modalities, from depth and pose to camera trajectories and audio transformations, yet existing...
Pin sites represent the interface where a metal pin or wire from the external environment passes through the skin into the internal environment of the...
Automated seizure detection from long-term clinical videos can substantially reduce manual review time and enable real-time monitoring. However, exist...
Tendon-driven aerial continuum manipulators (TD-ACMs) combine the maneuverability of uncrewed aerial vehicles (UAVs) with the compliance of lightweigh...
Predicting long-term bone remodeling after mandibular reconstruction would be of great clinical benefit, yet standard generative models struggle to ma...
Though self-supervised learning (SSL) has demonstrated incredible ability to learn robust representations from unlabeled data, the choice of optimal S...
Finite element analysis of knee joint contact mechanics is computationally expensive, which has motivated the development of graph neural network surr...
Human visual reconstruction aims to reconstruct fine-grained visual stimuli based on subject-provided descriptions and corresponding neural signals. A...
3D instance segmentation methods typically rely on high-quality point clouds or posed RGB-D scans, requiring complex multi-stage processing pipelines,...