Orthopedics

Using artificial intelligence-assisted retinal imaging devices operated by non-specialist workers in detecting diabetic retinopathy in Sri Lanka.

BACKGROUND: Diabetic retinopathy (DR), a microvascular complication of diabetes, is an important cause of preventable blindness and can cause a significant reduction in the quality of life of working-age adults. Sri Lanka has one of the highest prevalences of diabetes globally, and like many low- and middle-income countries, faces significant barriers to DR screening. Easy-to-use, relatively cheap...

Machine-learning-model based tool for screening bone metastases from lung cancer patients in primary care practice.

PURPOSE: This study aimed to use the machine-learning methods to predict bone metastasis (BM) in patients with lung cancer. METHODS: This study included 8,612 patients with lung cancer, from whom we collected baseline characteristics and hematological data. BM was diagnosed based on imaging results. We normalized metric data using Z-scores and divided the patients into training and validation sets...

Dynamic Mechanics and Longitudinal Changes in Temporomandibular Joint Structural Integrity.

BACKGROUND: Longitudinal changes in temporomandibular joint (TMJ) structures may reflect joint contact mechanics and jaw loading behaviours (Mechanobe...

AI-Assisted MRI Interpretation in Diagnosing Bankart and Reverse Bankart Lesions.

BACKGROUND: Accurate detection of glenoid labral tears remains challenging; however, it is essential for guiding treatment and return-to-play decision...

Machine learning-based prediction of a high-risk kidney function trajectory class after acute kidney injury.

OBJECTIVES: Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential for identifying patients at risk of rapid progress...

Interpretable machine learning model using peripheral blood for non-invasive detection of moderate-to-severe myelofibrosis in JAK2 V617F-positive MPNs: A multicentre pilot proof-of-concept study.

Progression to moderate-to-severe myelofibrosis (MF) in JAK2 V617F-positive myeloproliferative neoplasms (MPNs) is often clinically silent, and bone m...

[Technology-driven management of early-onset scoliosis:new technologies and concepts].

Early-onset scoliosis (EOS) refers to spinal deformity occurring in children younger than 10 years of age. The main goals of EOS treatment are not onl...

[Applications and prospects of artificial intelligence for decision-making in spinal surgery].

The application of artificial intelligence in decision support for spinal surgery has developed rapidly and now widely covers key steps such as automa...

Prediction of myelosuppression in cervical cancer after concurrent chemoradiotherapy by CT radiomics-based model.

BACKGROUND: Concurrent chemoradiotherapy (CCRT) was highly effective in treating cervical cancer (CC) but raised the risk of bone marrow suppression. ...

Multi-dimensional risk prediction and genetic architecture of aspiration pneumonia: a population-based analysis.

BACKGROUND: Aspiration pneumonia represents a significant but understudied cause of morbidity and mortality, particularly among aging populations with...

Feasibility of nonspinal bony landmark-based image registration in CyberKnife ® robotic radiotherapy for pelvic and femoral bone tumors.

In stereotactic body radiotherapy for bone metastases using the CyberKnife system, spinal anatomy is generally employed as the alignment reference. Ho...

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. Traditiona...

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, th...

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 ...

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...