Latest AI and machine learning research in orthopedics for healthcare professionals.
Conventional communication systems, including both separation-based coding and AI-driven joint source-channel coding (JSCC), are largely guided by Shannon's rate-distortion theory. However, relying on generic distortion metrics fails to capture complex human visual perception, often resulting in blurred or unrealistic reconstructions. In this paper, we propose Joint Source-Channel-Generation Codin...
This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient data. By processing patients` longitudinal health records and bone-related tabular data, our model captures complex, long-range dependencies in disease progression that conventional methods often overlook. We validated ...
The development of accurate forecasts of solar eruptive activity has become increasingly important for preventing potential impacts on space technolog...
We suggest a new multi-modal algorithm for joint inference of paired structurally aligned samples with Rectified Flow models. While some existing meth...
Patellofemoral pain (PFP) is a common running related injury associated with several biomechanical factors such as altered kinematics and kinetics acr...
BackgroundDisc degeneration is the primary cause of low back pain, although the disc itself is not usually the source of the pain. Instead, it can lea...
Knee osteoarthritis (OA) is a major cause of disability worldwide and is still largely assessed using subjective radiographic grading, most commonly t...
Despite the ecological significance of invertebrates, global trait databases remain heavily biased toward vertebrates and plants, limiting comprehensi...
In vertebrates, antibody-mediated immunity is a vital component of the immune system, and antibodies have become a rapidly expanding class of therapeu...
This study aimed to enhance vertebral implant design by using a parametric spine model and advanced simulation techniques to evaluate biomechanical be...
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-tearing an anterior cruciate ligament (ACL) using a ...
When inverse kinematics (IK) is adopted to control robotic arms in manipulation tasks, there is often a discrepancy between the end effector (EE) po...
In pediatric orthodontics, accurate estimation of growth potential is essential for developing effective treatment strategies. Our research aims to ...
The environment of underwater salvage is very special, and many factors such as real-time water conditions, the depth of salvage, and the complexity o...
Plain X-ray is one of the most common image modalities for clinical diagnosis (e.g. bone fracture, pneumonia, cancer screening, etc.). X-ray image s...
Immunohistochemical (IHC) virtual staining is a task that generates virtual IHC images from H\&E images while maintaining pathological semantic cons...
Canine gait analysis using wearable inertial sensors is gaining attention in veterinary clinical settings, as it provides valuable insights into a r...
In recent years, hip arthroscopy has made great progress and has been extended to the treatment of intra-articular or periarticular diseases. However,...
Enhancing the performance and longevity of cementitious nanocomposites requires a comprehensive understanding of the interfacial interactions between ...
Rheumatoid arthritis (RA) is a common autoimmune disease that has been the focus of research in computer-aided diagnosis (CAD) and disease monitorin...