Orthopedics

Construction of a sports bio mechanical injury prediction and AI warning system based on wearable sensors.

BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of sports medicine and health management. Traditional methods rely on single sensor data and static threshold rules, which have problems such as single monitoring dimension, high false alarm rate, and insufficient real-time performance, making it difficult to meet the precise prevention and control ne...

Semi-automatic individual tooth segmentation from CBCT images using anatomy-guided deep neural networks and watershed transform.

Individual tooth segmentation in cone beam computed tomography (CBCT) scan plays a crucial role in quantitatively analyzing oral diseases. However, the existing full-automatic methods exhibit limited accuracy and robustness due to the complex noise artifacts, intricate tooth morphological variability, and weak boundaries. To address this problem, we propose a semi-automatic individual tooth segmen...

Comment on "integrating machine learning into fracture liaison services: Toward precision risk stratification in osteoporosis care".

Automated assessment of coronal lower extremity alignment on long-leg radiographs using a deep-learning model: validation, efficiency gains, and superiority of an edge-based tibial joint-line definition.

PURPOSE: To develop, validate, and benchmark a fully automated deep learning (DL) system that simultaneously measures 15 coronal lower-limb alignment ...

Machine learning and deep learning for ankle fracture detection in radiographs: A systematic review with narrative synthesis on diagnostic performance and future clinical integration.

AIMS: Ankle fractures are a prevalent orthopedic injury with X-rays being the primary diagnostic tool. Errors in radiological interpretation leads to ...

Exploring osteoporosis risk in breast cancer patients after comprehensive treatment via explainable artificial intelligence algorithms.

BACKGROUND: Osteoporosis is a common complication among long-term breast cancer (BC) survivors. Assessment of osteoporosis risk of patients before the...

Tibial diaphyseal malunion: A problem-oriented approach to assessment and correction.

Tibial shaft fractures are the most common long bone injuries, and malunion remains a significant complication despite advances in fixation. Tibial di...

The Italian hand hygiene project: A joint-commission Italian network analysis.

BACKGROUND: Hand hygiene (HH) is a straightforward yet highly effective preventive measure against healthcare-associated infections; however, global c...

[Clinical practice guidelines for the application of intelligent technology in spinal surgery (2026 edition)].

In response to the challenges of insufficient precision and limited safety associated with traditional techniques in the diagnosis and treatment of co...

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness.

A continuing challenge in aerospace materials is the search for alloys that have desired functional properties to operate at higher temperatures with ...

CTransFuse: A Hybrid Transformer-CNN Framework for Precise Meniscus Segmentation and Lesion Identification.

Meniscal tears and degenerative changes are the most common pathologies affecting the knee joint. In magnetic resonance imaging (MRI), these lesions o...

Comparative analysis of AI and human radiographer performance in radiographic image assessments: A pilot study using a large language model to simulate radiographer decision-making.

INTRODUCTION/BACKGROUND: To determine whether a prompting-based, interpretable artificial intelligence (AI) system, specifically a large language mode...

An Artificial Intelligence Model for the Automatic Classification of the Cervical Vertebral Maturation Stages.

OBJECTIVE: To develop an artificial intelligence (AI) model for automatic classification of cervical vertebral maturation (CVM) stages on lateral ceph...

Electrical discharge machining of Ti6Al4V in deionized water: surface integrity and wear response for medical applications.

Titanium alloys are widely used in medical applications, particularly in dentistry and orthopedics, due to their biocompatibility, corrosion resistanc...

Extended reality and emerging artificial intelligence in orthopedic surgical training: a scoping review of educational outcomes.

Immersive technologies have gained increasing relevance in orthopedic surgical education; however, the scope, outcomes, and maturity of extended reali...

Deep Learning and Radiomics Assessment for Highly Myopic Glaucoma Detection Based on Fundus Photography.

PURPOSE: To investigate spatially distinctive features in fundus photographs of highly myopic glaucoma (HMG) by integrating radiomics and deep learnin...

Paravertebral Muscle Fat Infiltration and Other Imaging Predictors of Cement Nonunion Following Percutaneous Kyphoplasty: A Multivariable Modeling Study.

OBJECTIVE: To identify risk factors for postoperative cement nonunion in patients with OVCF and to develop prediction models for clinical risk stratif...

Targeting dysregulated glycolysis in type 2 diabetic osteoporosis: Identification of a diagnostic gene signature and therapeutic validation of calcifediol.

Type 2 diabetic osteoporosis (T2DOP) is a significant complication of type 2 diabetes, characterized by an increased risk of fractures. While dysregul...

Response to: comment on 'digital twins and multimodal artificial intelligence in spine care: a scoping review of concepts, evidence, and translational barriers'.

An adaptive bidirectional mapping framework for the customized design of interpenetrating phase composite scaffolds.

Structural optimization of artificial bone scaffolds faces trade-offs between mechanical integrity and permeability. To address this, we propose an in...