Orthopedics

The diagnostic accuracy of artificial intelligence in detecting foot and ankle fractures: a systematic review and meta-analysis of diagnostic test accuracy.

INTRODUCTION: Foot and ankle fractures, including radiographically subtle or occult injuries, present a diagnostic challenge in emergency settings, with missed diagnoses causing severe complications. Artificial intelligence (AI), specifically deep learning, offers a promising adjunct for radiographic interpretation. This systematic review and meta-analysis evaluates the diagnostic test accuracy of...

Knee-specific bone quality assessment for cementless total knee arthroplasty candidate selection: a narrative review.

Cementless total knee arthroplasty (TKA) has regained attention in younger, active, and obese patients, supported by advances in implant design, porous coating, and 3D printing technologies. However, the success of cementless fixation depends on adequate initial mechanical stability and subsequent osseointegration, making the assessment of bone quality at the implant-bone interface essential. Alth...

High temperature Nb-Si alloys using data science: optimization of fracture toughness and high-temperature strength.

High temperature Nb-Si based alloys face a critical challenge: achieving adequate room-temperature fracture toughness ( > 18 MPa·m1/2) for processing ...

Structure-aware fatigue modeling in foot deformities: A digital health framework for tissue-specific running injury risk prediction using multi-modal data.

Hallux Valgus (HV) is a common deformity in runners that reflects altered foot morphology and thereby redistributes mechanical loads along the lower l...

Miscorrection in coronal plane osteotomies around the knee-Current concepts.

This review seeks to clarify and enhance our current understanding around miscorrection following osteotomy surgery around the knee. Whilst many of th...

A medium-density EMG system for real-time proportional and simultaneous neuroprosthetic hand control using lightweight neural networks.

OBJECTIVE: Restoring intuitive and natural hand control remains a key challenge in neuroprosthetics. A promising approach is to decode continuous fing...

Automated scoliosis X-ray cobb angle classification: a deep learning approach with RadImageNet.

STUDY DESIGN: Retrospective Cohort Study OBJECTIVE: Biplanar full-body X-ray imaging is a low-dose, high-resolution technology crucial for assessing s...

Neural Network-Driven Finite Element Modeling for Estimating Knee Joint Cartilage Mechanical Responses.

Low-fidelity, artificial intelligence (AI)-generated approaches are increasingly used to estimate kinematics and kinetics of human movement, which are...

AI-Based Segmental Volumetry of the Downstream Aorta in Aortic Dissection: End-to-End Versus Hybrid Strategies.

Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardization. This study aimed to identify the optimal deep...

Large Language Models in Preclinical Spine Research: A Scoping Review and Expert Perspective on Evidence-Aware Experimental Workflows.

BACKGROUND: Preclinical spine research is limited by heterogeneous experimental reporting, fragmented documentation, and barriers to reproducibility a...

A method for early ultrasound classification of developmental dysplasia of the hip in infants: combining YOLOv8-based keypoint detection with radiomics.

This study introduces an innovative method for early ultrasound classification of developmental dysplasia of the hip (DDH) in infants, integrating key...

Artificial intelligence in shoulder arthroplasty: latest concepts and clinical integration.

BACKGROUND: Recent advances in artificial intelligence (AI) have redefined shoulder arthroplasty, ultimately improving diagnostic accuracy, refining s...

Accuracy of automated segmentation of gluteus and paraspinal muscles in patients with hip osteoarthritis using TotalSegmentator in 3Dslicer.

BACKGROUND: Muscle atrophy is prevalent among patients with hip osteoarthritis, yet quantitative assessment of the peri-hip muscles remains challengin...

Biokinetic insights into the hip-spine relationship: no correlation between hip strength or flexibility and altered pelvic motion in patients with low back pain.

PURPOSE: The spine and hips are biomechanically interconnected, and disorders affecting both are often categorized under hip-spine syndrome. This stud...

Maxillary Anterior Horizontal Ridge Reconstruction using Computer-Guided Ridge Split and Expansion: A Randomized Clinical Trial with a 2-Year Follow-up.

OBJECTIVES: This randomized clinical study aimed to assess implant placement accuracy and radiographic outcomes of computer-guided versus freehand rid...

Development and validation of a deep learning model for radiographic classification of pediatric femoral neck fractures.

BACKGROUND: The Delbet-Colonna (DC) classification guides treatment of pediatric femoral neck fractures (PFNFs) but relies on clinical experience. No ...

AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation Study.

BACKGROUND: Supraspinatus tendon pathologies are common causes of shoulder pain. Magnetic resonance imaging (MRI) is the reference imaging method but ...

Fully automated AI-based digital workflow for orbital fracture mirroring: A multicenter approach.

Orbital reconstruction after trauma or pathology requires precise restoration of anatomical symmetry to prevent functional and aesthetic impairment. A...

Identification and verification of immunogenic cell death-related signatures derived from bone metastasis of prostate cancer based on multi-omics and machine learning algorithms.

BACKGROUND: Prostate cancer (PCa) is a prevalent urological malignancy in men, with bone metastasis occurring in the majority of patients, often leadi...

AI-based bone age assessment versus forensic expert panel: agreement, sex bias, and ethical implications.

BACKGROUND: Forensic age estimation is frequently requested when chronological age is unknown or contested. While automated bone age systems have been...