Orthopedics

AI-based knee osteoarthritis progression prediction: a comprehensive global bibliometric and hotspot evolution analysis (2010-2025).

BACKGROUND: Knee osteoarthritis (OA) is a leading global cause of disability, yet conventional tools lack sensitivity for early detection and precise prognostication. Artificial intelligence (AI) and machine learning (ML) offer powerful means to enhance prediction of knee OA onset and progression. This bibliometric study maps global research trends and thematic evolution rather than evaluating the...

The challenge of bringing advances in sacroiliac joint imaging to the clinic.

PURPOSE OF REVIEW: Recently reported criteria are more stringent for classification of axial spondyloarthritis (axSpA) in the absence of positive imaging. This places increased reliance on the accuracy of sacroiliac joint (SIJ) imaging. This review highlights some of the key challenges to bringing advances in SIJ imaging to clinical practice. RECENT FINDINGS: The first international consensus for ...

Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study.

BACKGROUND: Postoperative delirium (POD) is a common and severe complication in older adult patients with hip fracture, yet its pathogenesis remains u...

Participant-Aware Model Validation for Repeated-Measures Data: Comparative Cross-Validation Study.

BACKGROUND: Repeated-measures datasets are common in biomechanics and digital health, where each participant contributes multiple correlated trials. I...

Deep Learning-Based Identification of Surgical Candidacy for Cervical Spinal Cord Decompression.

BACKGROUND: Artificial intelligence has previously demonstrated the capability to interpret cervical spine imaging. The present study aims to identify...

Assessing osteosarcopenia using automated multi-structure-segmentation and Hounsfield unit-based analysis of lumbar muscles and vertebral bodies on computed tomography.

Sarcopenia and osteoporosis are prevalent age-related conditions that substantially increase the risk of falls, fractures, and functional decline. Thi...

The complexity of pain in osteoarthritis.

Chronic pain is the hall-mark symptom of osteoarthritis (OA) and although several therapies are available, a sizeable number of patients do not gain a...

Identification and Screening of Lactate-Related Genes as Molecular Markers for Early Diagnosis of Steroid-Induced Osteonecrosis of the Femoral Head.

Steroid-induced osteonecrosis of the femoral head (SONFH) is a major cause of disability among young and middle-aged adults. However, current diagnosi...

Effect of markers in training dataset for markerless applications in biomechanics.

The quality of dataset annotations used to train markerless motion capture models is crucial for obtaining reliable joint center estimations from vide...

Radiomics for predicting microsatellite instability-high status in colorectal cancer: a systematic review and meta-analysis.

OBJECTIVE: Microsatellite instability (MSI) has emerged as a key predictive biomarker for chemotherapy and immunotherapy response, and as a prognostic...

Quantitative CT Measurements of Interstitial Lung Disease: Same-Day Variability Between Two Vendors-A Prospective Study.

BACKGROUND. Clinical application of quantitative CT (QCT) measurements of interstitial lung disease (ILD) for longitudinal monitoring of disease progr...

Rotenone impairs osteoclastogenesis by inhibiting cell migration: insights from machine learning.

PURPOSE: The migration and fusion of osteoclast precursors (OCPs) are critical steps in osteoclastogenesis and require substantial energy. Although ox...

Design of Safe and Efficient Adenine Base Editors via Protein Language Model Screening for Osteoarthritis Treatment.

Base editors enable precise genome modification and have emerged as a promising therapeutic approach for correcting diseases caused by single-nucleoti...

Response to comment on "Assessing deep learning model performance in osteoporosis screening with lumbar spine radiographs".

Explainable machine learning differentiates necrotizing fasciitis and osteomyelitis via routine blood biomarkers.

Necrotizing fasciitis (NF) and osteomyelitis (OM) are severe, limb-threatening infections with overlapping features, making early differentiation chal...

Serpinh1 promotes fracture healing by enhancing osteogenesis via activation of the Wnt/β-catenin signaling pathway.

BACKGROUND: The process of fracture healing encompasses tightly regulated cellular and molecular interactions. However, the precise regulatory mechani...

How receptor conformation depends on lipid nanodisc size: Adenosine A2A receptor and implications for class-A GPCR proteins.

Nanodiscs have become an exceptionally valuable tool to explore membrane proteins in an environment resembling native membranes. However, it remains u...

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 instrume...

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. Whi...

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...