Orthopedics

Are machine learning models superior to logistic regression models to predict 30-day mortality post-hip fracture surgery?

Hip fractures represent a significant global health burden, with high mortality rates. Accurate prediction of 30-d postoperative mortality is instrumental to optimize patient care. This study aimed to validate previously developed logistic regression and machine learning (ML) models for predicting 30-d mortality after hip fracture surgery measured from the date of the index operation (counting dea...

Markerless gait analysis for children and adolescents with juvenile idiopathic arthritis using a machine learning pipeline.

BACKGROUND: Musculoskeletal diseases, such as Juvenile Idiopathic Arthritis (JIA), can lead to altered joint mobility and changes in gait pattern. While marker-based motion capture systems are considered the gold standard, their use is limited by high costs, technical complexity, time-intensive procedures, and specialized staff requirements. This study proposes and evaluates the feasibility of a m...

Deep learning for discriminating cochlear malformations on temporal bone CT.

OBJECTIVES: Diagnosis of cochlear malformation on temporal bone CT images is often difficult because the imaging findings are frequently subtle. Our a...

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 ev...

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 a...

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...

Gene-Lifestyle Synergy in Diabetic Retinopathy Development.

PURPOSE: To develop a machine learning (ML)-driven polygenic risk score (PRS) for diabetic retinopathy (DR) and evaluate the extent to which lifestyle...

Multicenter evaluation of three-shot SAM2 segmentation for group-level quantification of lumbar paraspinal muscles at the L4/L5 level on multi-sequence MRI.

PURPOSE: To evaluate a data-efficient segmentation approach for quantifying lumbar paraspinal muscle (LPM) at the single-slice L4/L5 level across mult...

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...