Orthopedics

Letter to the editor concerning "Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis" by B. Hajikarimloo, et al. (Eur spine J [2025]: doi: 10.1007/s00586-025-09053-y).

Artificial Intelligence-Assisted Standard Plane Detection in Hip Ultrasound for Developmental Dysplasia of the Hip: A Novel Real-Time Deep Learning Approach.

Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joi...

Strain-Sensitive Thermochromic Smart Electronic Skin for Joint and Spine Healthcare Applications.

Electronic skins (E-skins) that enable interactive and quantitative joint and spine healthcare hold ...

Interpretable machine learning models for survival prediction in prostate cancer bone metastases.

Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate ...

Software-based finger joint range of motion analysis: Current concepts, considerations, and challenges.

BACKGROUND: Finger and wrist joint range of motion (ROM) measurement are key parameters of the hand ...

Improving prediction of fragility fractures in postmenopausal women using random forest.

Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality...

Quantifying features from X-ray images to assess early stage knee osteoarthritis.

Knee osteoarthritis (KOA) is a progressive degenerative joint disease and a leading cause of disabil...

Liposome-encapsulated AICAR hydrogel regulates macrophage metabolic reprogramming via SIK1 activation to alleviate osteoarthritis.

BACKGROUND: Osteoarthritis (OA), the most prevalent joint disorder, is characterized by a complex et...

Progression risk of adolescent idiopathic scoliosis based on SHAP-Explained machine learning models: a multicenter retrospective study.

Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2.

Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional...

A robust machine learning approach to predicting remission and stratifying risk in rheumatoid arthritis patients treated with bDMARDs.

Rheumatoid arthritis (RA) is a chronic autoimmune disease affecting millions worldwide, leading to i...

Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment.

Current approaches for bone repair predominantly target localized delivery of growth factors that ar...

Discovering novel type I collagen fragments from Cyprinus carpio supporting bone regeneration.

Fish collagen is gaining increasing attention in tissue engineering due to its exceptional bioactivi...

Quantitative CT Imaging in Chronic Obstructive Pulmonary Disease.

Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...

The interplay between homeostatic synaptic scaling and homeostatic structural plasticity maintains the robust firing rate of neural networks.

Critical network states and neural plasticity enable adaptive behavior in dynamic environments, supp...

Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population.

OBJECTIVES: The aim of this study is to validate the effectiveness of an AI tool trained on Indian d...

Predicting Unplanned Intubations in Rib Fracture Patients: An Interpretable Machine Learning Approach.

BackgroundTraumatic rib fractures can lead to respiratory complications necessitating unplanned intu...

A Novel Two-step Classification Approach for Differentiating Bone Metastases From Benign Bone Lesions in SPECT/CT Imaging.

RATIONALE AND OBJECTIVES: This study aims to develop and validate a novel two-step deep learning fra...

Identification of MEG3 and MAPK3 as potential therapeutic targets for osteoarthritis through multiomics integration and machine learning.

Knee osteoarthritis (KOA) is a prevalent degenerative joint disorder, yet its underlying molecular m...

Discovery of novel cathepsin K inhibitors for osteoporosis treatment using a deep learning-based strategy.

BACKGROUND: Cathepsin K (CTSK), a cysteine protease of the papain family, exhibits high expression i...

Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery.

Hip fractures among the elderly population continue to present significant risks and high mortality ...