Orthopedics

Identification and importance analysis of osteoporosis risk factors in perimenopausal women based on the Transformer-LSTM hybrid model and SMOTE.

OBJECTIVE: This study aimed to identify the core risk factors for osteoporosis in perimenopausal women and propose an analytical framework based on the Transformer-LSTM hybrid model and SMOTE algorithm. METHOD: Cohort data on perimenopausal osteoporosis from the Department of Gynecology, Peking University Third Hospital were preprocessed, including cleaning invalid samples, converting feature type...

Spatiotemporal Asymmetries of Longitudinal Screening Mammograms for Breast Cancer Risk Prediction.

Purpose To develop and evaluate a new deep learning-based risk model that explicitly captures bilateral and longitudinal asymmetries on sequential mammograms for predicting breast cancer risk. Materials and Methods In this institutional review board (IRB)-approved retrospective case-control study, the images of sequential mammographic examinations (at least two per patient with interexamination in...

Comparison of accelerated MRI protocol approaches for clinical assessment of the knee.

OBJECTIVE: To evaluate the diagnostic performance and image quality of four accelerated knee MRI protocols (~ 6 minutes) compared with a conventional ...

The Metabolite indole-3-acetic acid of Bacteroides ovatus ameliorates ovariectomy-induced bone loss by activating AhR and inhibiting oxidative stress.

Postmenopausal osteoporosis represents a systemic skeletal condition distinguished by diminished bone mass and heightened skeletal fragility. Emerging...

Towards Explainability in Deep Learning for Detection of Five Major Intracranial Hemorrhage Subtypes on Head CT Using Multi-window DICOM Imaging and Patient-Level Cross-Validation.

Intracranial hemorrhage (ICH) is a time-critical neurologic emergency where delayed diagnosis can worsen outcomes. Non-contrast head CT is the first-l...

Artificial intelligence for pediatric fracture detection: impact on diagnostic revisions and patient recall rates in a tertiary emergency setting.

PURPOSE: Artificial intelligence (AI) can support and enhance radiologists in musculoskeletal imaging, but evidence of clinical benefit is still lacki...

A comparative analysis of readability, quality, and reliability in large language model outputs pertaining to knee osteoarthritis queries.

This study aims to comparatively examine the readability, accuracy, and quality of responses provided by artificial intelligence (AI)-based chatbots s...

Preliminary Evaluation of a Dental Virtual Standardized Patient in Endodontic Clinical Reasoning and Decision-Making: Face and Construct Validity.

AIM: To develop and evaluate a dental virtual standardized patient (D-VSP) integrating natural-language intent recognition, a high-fidelity haptic sim...

Dichotomous associations of circulating short-chain organic acids with cognitive impairment in older adults: An epidemiological and network analysis study.

BackgroundShort-chain organic acids (SCOAs) may have paradoxical effects on neurocognition, acting as either neuroprotective bioenergetic substrates o...

Automated MRI-based framework combining deep learning localization and machine learning classification for pubertal olecranon bone age assessment.

OBJECTIVES: This study developed a magnetic resonance imaging (MRI)-based artificial intelligence (AI) framework for ordered pubertal olecranon bone a...

Who Owns Arthroplasty Data?: Governance in the Era of Robotics, Registries, and Industry Partnerships.

Robotic platforms, proprietary registries, and advanced analytics have transformed total joint arthroplasty into a data-intensive subspecialty. Contem...

Population-specific reference values for calcaneal angular parameters and their limited utility in sex estimation.

The calcaneus is the largest tarsal bone located in the lower part of the ankle joint and plays a significant role in walking, running, and maintainin...

[Strategies for complications prevention and management of complex total hip arthroplasty].

Although the complications of complex total hip arthroplasty (THA) are decreasing with the progress of surgical technology, it is still a difficult cl...

A practical guide to the implementation of AI in orthopaedic research-Part 4: Prerequisites for a successful orthopedics AI-driven project in terms of interdisciplinary collaboration, data management, ethical approval and technology.

UNLABELLED: Translating artificial intelligence (AI) research in orthopedics from proof-of-concept studies into production-grade clinical systems requ...

Artificial intelligence in spine care: A scoping review of diagnostic applications.

BACKGROUND: Artificial intelligence (AI) is increasingly used to enhance diagnostic accuracy, automate image interpretation, and support clinical deci...

Agreement between markerless and marker-based motion capture for knee kinematics and kinetics during functional activities in knee osteoarthritis.

OBJECTIVE: To assess the agreement between markerless and marker-based motion capture for measuring knee kinematics and kinetics during functional act...

Current Treatment Options and Emerging Technologies for Pelvic Bone Tumors: From Limb Salvage to Precision Oncology.

In our practice, the treatment of pelvic bone tumors should begin with a multidisciplinary sarcoma-board evaluation that integrates biopsy-proven hist...

Global evolution of adolescent idiopathic scoliosis research (1990-2025): a bibliometric and visualization analysis.

PURPOSE: Adolescent idiopathic scoliosis (AIS) is the most common spinal deformity affecting adolescents, yet comprehensive analysis of global researc...

Machine learning-based prediction of perioperative complications in spine surgery: a large-scale model development and validation study.

BACKGROUND: Spinal surgery carries substantial perioperative risks. Early identification of high-risk patients is critical for improving outcomes. Mac...

Explainable deep learning self-supervised vision transformer for fundus-based myopia classification.

PURPOSE: To develop and validate a self-supervised vision transformer (ViT) for automated three-class classification of Normal, High Myopia (HM), and ...