Orthopedics

Barriers to AI-supported health management among older adults with chronic orthopedic conditions in China: implications for healthcare delivery and access.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in chronic disease management, yet its adoption among older adults with chronic orthopedic conditions remains limited and poorly understood in China. METHODS: A qualitative study using semi-structured interviews was conducted with 13 older adults recruited from two tertiary hospitals in Beijing and Harbin. Thematic analysis was perfo...

Artificial-Intelligence-Driven Electromyography Adaptation for Elderly Assistance at Physiological, Functional, and Behavioral Levels.

Older adults frequently face difficulties in activities of daily living (ADLs) due to age-related declines in strength, coordination, and perception. Myoelectric control provides an intuitive human-robot interface by translating muscle activity into assistive commands. However, its practical application is still challenged by signal annotation, multijoint coordination, and cross-task generalizatio...

Data-efficient Neuroradiology MRI Imaging Protocol Prediction Using Open-weights Large Language Models.

PURPOSE: To evaluate the feasibility of a locally deployable large language model (LLM) system for automated MRI protocol selection addressing data pr...

Predicting Patient-Reported Outcome Measures, Satisfaction, Healthcare Utilization, Mortality, and Return to Work After Total Knee Arthroplasty Using Machine Learning: A 14,900-Patient Study.

BACKGROUND: Patient-reported outcome measures and healthcare utilization metrics are increasingly used to evaluate the success of total knee arthropla...

Machine learning-based prognosis and early death prediction in de novo stage IV breast cancer patients with bone metastasis: a SEER database and multicentre retrospective study.

Bone is the most common site of distant metastasis in breast cancer (BC), and the development of bone metastasis (BM) is associated with reduced survi...

Integration of metabolomics and machine learning algorithm for discovery of early diagnostic biomarkers of osteoporosis.

BACKGROUND: Osteoporosis (OP) is a prevalent metabolic bone disorder and a major public health concern characterized by reduced bone mass and bone mic...

Japan's contributions to hip joint preservation and reconstruction: from osteonecrosis and developmental dysplasia to precision arthroplasty.

PURPOSE: To review Japan's major contributions to hip joint preservation and reconstruction, spanning joint-preservingosteotomy, biomaterials innovati...

Artificial intelligence enabled behavior modeling and dual-task performance analysis of cloud-native software with fused multi-source heterogeneous data.

To address the challenges of heterogeneous multi-source data, inadequate collaborative modeling of temporal and topological features, and low efficien...

Forecasting knee arthroplasty surgery with deep learning : an integrated approach using routine clinical data and radiographs.

AIMS: We aimed to develop and validate a practical deep learning model integrating commonly collected clinical data and knee radiographs to predict th...

Tree-based machine learning models recover rule-based flare labels from virtual symptom diaries in pediatric Behçet's disease: an in silico proof-of-concept study.

Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result in significant morbidity, most notably with ocula...

Artificial intelligence meets pediatric orthopedics: A comparative analysis of ChatGPT-4o, Gemini 2.0, and Claude 3.5 in detecting supracondylar humeral fractures.

BACKGROUND: Supracondylar humeral fractures constitute 10-16% of pediatric skeletal injuries, requiring timely diagnosis to prevent neurovascular comp...

A Radiomics-Driven Model to Distinguish Between Clinically Similar Myxopapillary Ependymomas and Lumbosacral Schwannomas.

BACKGROUND AND OBJECTIVES: Myxopapillary ependymomas (MPE) and intradural lumbosacral schwannomas may be challenging to distinguish based on presentin...

AI-driven multiscale modeling of mechanical and corrosion properties in biodegradable Mg-Lu alloys.

Magnesium-lutetium (Mg-Lu) alloys exhibit significant potential as biodegradable bone implant materials. However, their low alloying content necessita...

Machine-learning-based Fall-prediction Model for Inpatients in Military Hospitals.

This case-control study develops a machine-learning (ML)-based fall-risk-prediction model for military-hospital inpatients, using electronic records (...

The Role of Artificial Intelligence in Addressing Menopausal Mental Health Challenges.

Menopause marks a crucial transition in a woman's life and is often accompanied by physical and psychological changes that can adversely affect mental...

fAI-BRO: a multimodal AI decision-support system to address diagnostic delay in fibromyalgia syndrome.

OBJECTIVE: To evaluate the diagnostic accuracy and patient acceptability of fAI-BRO (Fibromyalgia AI-Based Rheumatology Observer), a multimodal artifi...

Artificial intelligence for comprehensive skeletal maturity assessment: a unified CBCT-based deep learning framework.

Skeletal maturity assessment is crucial, and the cervical vertebral maturity (CVM), spheno-occipital synchondrosis (SOS), and mid-palatal suture (MPS)...

Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of the standard care given due to minimal invasive deco...

A Website-Based Classification of Cervical Spine Conditions Using Convolutional Neural Network.

Accurate assessment of cervical spine alignment is essential for diagnosing and monitoring cervical spine disorders. However, manual interpretation of...

Dual-input deep learning bone age assessment in late adolescence using hand and knee radiographs.

OBJECTIVE: To develop and internally evaluate an age-assisted dual-input model for bone age assessment in late adolescence using paired hand-wrist and...