Orthopedics

Machine learning-based prediction of 3-month mortality in elderly patients with non-small cell lung cancer and bone metastases.

Elderly patients with non-small cell lung cancer (NSCLC) and bone metastases face a dire prognosis, creating an urgent need for accurate short-term mortality prediction to guide care. To develop and validate machine learning (ML) models for predicting 3-month cancer-specific mortality in patients aged 70 years or older with NSCLC and bone metastases. We analyzed data from 1,773 patients (aged ≥ 70...

Optimizing camera placement in multi-view markerless motion capture: a validation study against gold-standard kinematics for static and dynamic tasks.

OBJECTIVE: This study aimed to determine the optimal camera configuration for a markerless motion capture system, which may offer a lower-cost alternative to laboratory based systems. It validated the system's performance against a gold standard during both static postures and a dynamic lifting task, addressing a key gap regarding the impact of camera arrangement on measurement validity. Six uniqu...

Deep learning in the diagnosis, staging, and prognosis of osteonecrosis of the femoral head: a systematic review.

BACKGROUND: Osteonecrosis of the femoral head (ONFH) is a progressive ischemic bone disorder that often leads to structural collapse and early arthrop...

Cost-effectiveness of artificial intelligence interventions for musculoskeletal disorders of the spine: a systematic review.

Musculoskeletal disorders (MSDs) represent a substantial global health burden, and artificial intelligence (AI)-based technologies are emerging as pot...

Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics.

Artificial intelligence (AI) methods, including machine learning (ML), are transforming healthcare by enabling personalized interventions that integra...

Learning-based fault-tolerant control for flexible joint robotic manipulators: An actor-critic framework with experimental verification.

Flexible-joint robotic manipulators (FJRMs) offer significant advantages over traditional rigid-link counterparts, including improved dexterity, great...

Artificial Intelligence in Musculoskeletal Imaging: Innovations and Clinical Impact in Rheumatology.

This article summarizes key advancements of artificial intelligence (AI) for rheumatic and musculoskeletal disease imaging in the diagnosis and classi...

Epigenetic research methods and animal models for intervertebral disc degeneration (Review).

Intervertebral disc degeneration (IVDD) is increasingly recognized as a systemic collapse of the epigenetic regulatory network, driven by cellular sen...

Mechanisms linking primary biliary cholangitis and osteoporosis: A combined clinical and molecular analysis.

Primary biliary cholangitis (PBC) is an immune-mediated cholestatic liver disease, and osteoporosis (OP) is a prevalent comorbidity that aggravates th...

Predicting poor wrist function recovery after internal fixation of distal radius fractures: A retrospective study based on multivariate analysis and machine learning models.

This study aimed to identify independent risk factors associated with poor wrist function recovery 6 months after internal fixation of distal radius f...

Zebrafish Behavioral Phenotyping: Current Assays, Automated Platforms, and the Emerging Need for AI in Neuroscience, Drug Discovery and Toxicology.

Over the past two decades, zebrafish have become an increasingly prominent model organism for basic research, drug discovery, and toxicology. Its adva...

Detection of spider mite infestation via hyperspectral imaging and deep neural networks with spatial-spectral attention.

Early detection of spider mite emergence is highly challenging due to the lack of visible symptoms and subtle physiological changes. To address the ra...

Electroactive Nanomaterials in Tissue Engineering: Advances, Mechanisms and Future Perspectives.

Simulation of the dynamic electromechanical microenvironment is of great significance in tissue engineering, especially in the regeneration of those e...

Deep learning methods for automated orthopaedic measurements in radiographs.

Radiography remains central to orthopedic diagnosis and surgical planning, yet many clinically important measurements (angles, offsets, alignment indi...

Development and Internal Evaluation of EAST-BMS (East Asian Survival Tool for Bone Metastasis Surgery): A Multinational Machine-learning Survival Prediction Model for Patients Undergoing Surgery for Nonspinal Bone Metastasis in East Asia.

BACKGROUND: Patients undergoing surgery for bone metastases typically have advanced disease, and postoperative survival varies substantially. Accurate...

AI-Empowered and a Bio-/Nanoenzyme-Hybrid Multisensors Array toward Precision Diagnosis of Kidney Diseases.

Chronic kidney disease (CKD) risk assessment is shifting from centralized instrument-heavy testing to personalized point-of-care evaluation enabled by...

Dual sagittal-guided coarse-to-fine rib segmentation and numbering in chest CT.

Rib identification in chest CT is time-consuming and labor-intensive, as clinicians repetitively examine hundreds of CT slices to pinpoint a certain r...

Performance comparison between a deep learning model and spine surgeons in detecting cervical spinal cord compression on radiographs.

OBJECTIVE: This study aimed to develop a deep learning (DL) model for the detection of cervical spinal cord compression on cervical radiographs and co...

Estimated glucose disposal rate and triglyceride-glucose index jointly predict mortality in advanced cardiovascular-kidney-metabolic syndrome.

OBJECTIVE: Advanced cardiovascular-kidney-metabolic (CKM) syndrome carries substantial mortality risk, yet the independent and joint prognostic roles ...

Automated orbital wall fracture detection and severity classification of ocular injuries using deep learning.

Orbital fractures are frequently encountered in maxillofacial trauma and can be associated with severe globe injuries (SGI). Accurate and timely diagn...