Latest AI and machine learning research in orthopedics for healthcare professionals.
Stress distributions and the corresponding fracture patterns and evolutions in the microstructures strongly influence the load-carrying capabilities of composite structures. This work introduces an enhanced phase-field fracture model incorporating interface decohesion to simulate fracture propagation and interactions at material interfaces and within the constituents of composite microstructures...
Identifying predictive features from high-dimensional datasets is a major task in biomedical research. However, it is difficult to determine the robustness of selected features. Here, we investigate the performance of randomly chosen features, what we term "random feature baselines" (RFBs), in the context of disease risk prediction from blood plasma proteomics data in the UK Biobank. We examine ...
Conventional computer vision models rely on very deep, feedforward networks processing whole images and trained offline with extensive labeled data....
OBJECTIVES: Recently, deep learning medical image analysis in orthopedics has become highly active. However, progress has been restricted by the absen...
INTRODUCTION: The aim of this study was to find the most appropriate variables to input into machine learning algorithms to identify those patients wi...
Diagnosing knee osteoarthritis (OA) early is crucial for managing symptoms and preventing further joint damage, ultimately improving patient outcome...
We propose a workflow based on physics-informed neural networks (PINNs) to model multiphase fluid flow in fractured porous media. After validating t...
Knee osteoarthritis(KO) is a degenerative joint disease that can cause severe pain and impairment. With increased prevalence, precise diagnosis by m...
Reinforcement learning has achieved promising results on robotic control tasks but struggles to leverage information effectively from multiple senso...
The mechanical competence and suturing ability of collagen-based membranes are paramount in Guided Bone Regeneration (GBR) therapy, to ensure damage...
Increased healthcare demand is significantly straining European services. Digital solutions including advanced modelling techniques offer a promisin...
We present a novel approach to synthesize dexterous motions for physically simulated hands in tasks that require coordination between the control of...
OBJECTIVE: To explore early postoperative gait characteristics and clinical outcomes after total knee arthroplasty (TKA).
We introduce VascX models, a comprehensive set of model ensembles for analyzing retinal vasculature from color fundus images (CFIs). Annotated CFIs ...
Reoperation is the most significant complication following any surgical procedure. Developing machine learning methods that predict the need for reope...
Bone and soft tissue tumors occur in the musculoskeletal system, and malignant bone tumors of bone and soft tissue account for 0.2% of all human malig...
In whiteboard-based remote communication, the seamless integration of drawn content and hand-screen interactions is essential for an immersive user ...
The landscape of Deep Learning has experienced a major shift with the pervasive adoption of Transformer-based architectures, particularly in Natural...
Articulated objects and their representations pose a difficult problem for robots. These objects require not only representations of geometry and te...