Orthopedics

A Meta-Analysis of the Diagnosis of Condylar and Mandibular Fractures Based on 3-dimensional Imaging and Artificial Intelligence.

This article aims to review the literature, study the current situation of using 3D images and artificial intelligence-assisted methods to improve the rapid and accurate classification and diagnosis of condylar fractures and conduct a meta-analysis of mandibular fractures. Mandibular condyle fracture is a common fracture type in maxillofacial surgery. Accurate classification and diagnosis of condy...

Confidence-Driven Deep Learning Framework for Early Detection of Knee Osteoarthritis.

Knee Osteoarthritis (KOA) is a prevalent musculoskeletal disorder that severely impacts mobility and quality of life, particularly among older adults. Its diagnosis often relies on subjective assessments using the Kellgren-Lawrence (KL) grading system, leading to variability in clinical evaluations. To address these challenges, we propose a confidence-driven deep learning framework for early KOA d...

ssEM Image Restoration via Diffusion Models with Multi-output Joint Strategy for Noise Estimation.

Serial section electron microscopy (ssEM) is a pivotal technique for investigating neuronal connections and brain microstructures. However, imperfect ...

Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Robust differentiation between infarcted and normal myocardial tissue is essential for improving diagnostic accuracy and personalizing treatment in my...

AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data.

Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliability of electronic devices, underscoring the impor...

Mechanobiology-guided machine learning models for predicting long bone fracture healing across diverse scenarios.

BACKGROUND: Fracture healing is a complex, time-dependent process governed by biological and mechanical factors, including implant properties. While f...

Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases.

BACKGROUND AND PURPOSE:  Treatment-related shared decision-making (SDM) in older adults with hip fractures is complex due to the need to balance patie...

External validation of a prediction model for disability and pain after lumbar disc herniation surgery: a prospective international registry-based cohort study.

BACKGROUND AND PURPOSE:  We aimed to externally validate machine learning models developed in Norway by evaluating their predictive outcome of disabil...

Real-time super-resolution structured illumination microscopy: current progress in joint space and frequency reconstruction.

Due to its low light dose, ultra-high imaging speed and super-resolution, structured illumination microscopy (SIM) is now widely used in various appli...

Nuclear morphometrics coupled with machine learning identifies dynamic states of senescence across age.

Cellular senescence is an irreversible state of cell cycle arrest with a complex role in tissue repair, aging, and disease. However, inconsistencies i...

Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP.

External validation of an artificial intelligence tool for fracture detection in children with osteogenesis imperfecta: a multireader study.

OBJECTIVE: To determine the performance of a commercially available AI tool for fracture detection when used in children with osteogenesis imperfecta ...

Radiographic Bone Texture Analysis using Deep Learning Models for Early Rheumatoid Arthritis Diagnosis.

Rheumatoid arthritis (RA) is distinguished by the presence of modified bone microarchitecture, also known as 'texture,' in the periarticular regions. ...

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).

Evaluation of retrieval-augmented generation and large language models in clinical guidelines for degenerative spine conditions.

PURPOSE: Degenerative spinal diseases often require complex, patient-specific treatment, presenting a compelling challenge for artificial intelligence...

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 survival prediction is essential for managing thes...

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 transformative potential for personalized musculos...

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 joint development. Early diagnosis is essential to pr...

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, leading to increased bone fragility and a higher...

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 examination and contribute to the diagnosis and mo...