Orthopedics

Pfirrmann Grading and Features of Internal Derangement Identified in Discs Studied By Lumbar Discography in Patients with Chronic Low Back Pain.

BACKGROUND AND PURPOSE: Lumbar disc degeneration Pfirrmann Grade (PfGr) is commonly used to evaluate clinical studies assessing patient outcomes or evolving MR imaging sequences. To our knowledge the association between the features of annular internal derangement and PfGr has not been evaluated. This study's purpose was to compare disc PfGr to the observed internal derangement features identified...

Evaluation of an AI-Driven Risk Stratification System for Clinical Deterioration in Geriatric Hip Fracture Patients.

OBJECTIVES: To determine whether an artificial-intelligence-driven Clinical Deterioration Index (CDI) could identify geriatric hip-fracture patients at risk of early postoperative complications and to establish an orthopaedic-specific cutoff that identified patients at risk of deterioration. METHODS: Design: Retrospective cohort study. SETTING: Single Level I trauma center. PATIENT SELECTION CRITE...

VerteRo: A Fully Automated Deep Neural Network Tool for Estimating Axial Vertebral Body Rotation in Adolescent Idiopathic Scoliosis.

Study DesignRetrospective validation study.ObjectivesTo develop and validate VerteRo, a fully automated deep learning-based tool that estimates axial ...

Exploring the mechanism of Dieda Qili Tablet on fracture healing based on network pharmacology combined with machine learning models.

A multiobjective AI model for LNP engineering enhances tissue-selective mRNA delivery.

Lipid nanoparticle (LNP) delivery of RNA therapeutics is constrained by poor tissue selectivity and off-target toxicity. Most high-throughput screenin...

Automated detection of racket-ball impact timing in tennis strokes using deep learning models and a markerless motion capture system.

Event identification, which refers to defining important moments within a movement, is a fundamental process in biomechanical analysis. This study aim...

Insects shape the cadaver decomposition microbiome and postmortem interval estimation accuracy.

The breakdown and recycling of carrion is a crucial ecological process that largely relies on a community of necrophagous insects and microbes. Recent...

Increased Pre-Activation and Co-Contraction in ACL-Reconstructed Athletes: Insights from AI-based EMG Analysis.

INTRODUCTION: Anterior Cruciate Ligament (ACL) tears disrupt the neural structures within the ligament, impairing the neuromuscular control of knee-st...

Frequency-based deep learning to identify subtle postural instability in early, untreated Parkinson's disease.

Despite evidence of early neurodegeneration, postural instability is commonly associated with later stages of Parkinson's disease (PD), mainly due to ...

Artificial Intelligence in Dental and Orthopedic Skeletal Imaging: A Scoping Review of Methodological Convergence and Translational Gaps.

This scoping review aimed to answer the question: to what extent do artificial intelligence applications in dental and orthopedic skeletal imaging dem...

Bi-linguistic performance of large language models in multimodal analysis for differentiating jawbone-destroying malignancy from osteomyelitis.

Current and emerging therapies for knee osteoarthritis: From conventional approaches to machine learning and stem cell innovations.

Osteoarthritis is characterized by cartilage degradation and joint distortion. The most prevalent version of osteoarthritis, knee osteoarthritis (KOA)...

Prediction of survival in patients with spinal metastatic disease.

The spine is among the most frequent sites of metastatic disease, with an increasing prevalence, leading to increasing rates of surgical interventions...

Machine Learning-Guided Optimization of Additively Manufactured TiB2-Modified Aluminum Alloys.

The rapid development of additive manufacturing (AM) offers unprecedented design freedom for high-performance aluminum alloys, yet process optimizatio...

CD27 Neutralization Attenuates Rheumatoid Arthritis by Suppressing.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and destruction. Identifying novel therapeutic targets i...

AI-driven tissue discrimination sensing methods for robot-assisted spine surgery: a state-of-the-art review.

Hyperspectral image classification network based on multiscale spatial-spectral fusion and semantic enhancement encoder.

Hyperspectral image classification has become a pivotal task in remote sensing data processing. However, current deep learning-based methods still fac...

Neural reservoir control of a bio-hybrid soft arm.

A long-standing engineering problem, the control of soft robots is difficult because of their highly nonlinear, heterogeneous, anisotropic, and distri...

Integrating network toxicology and experimental validation to elucidate the molecular mechanism basis of chondrotoxicity of Benzo[a]pyrene in osteoarthritis.

Benzo[a]pyrene (BaP), a widespread environmental pollutant, has been increasingly implicated in the pathogenesis of chronic degenerative diseases. Env...

Automated Objective Scoring of Osteoarthritis Severity in Mouse Medial Tibial Cartilage Using Deep Learning.

ObjectiveThis study developed and optimized a deep learning model to automate OARSI-based histologic scoring of mouse medial tibial cartilage.DesignSa...