Orthopedics

Comment on "Digital Twins and Multimodal Artificial Intelligence in Spine Care: A Scoping Review of Concepts, Evidence, and Translational Barriers".

Polystyrene Microplastics Drive Chondrotoxicity in Osteoarthritis through Inducing ER Stress and Apoptosis via NFKB1 Activation.

Polystyrene microplastics (PS-MPs), recognized as widespread environmental contaminants, have been identified within human articular tissues. However, their contribution to the pathogenesis of osteoarthritis (OA) remains incompletely understood. In this study, a combination of network toxicology and transcriptomic profiling was employed to pinpoint 30 core targets implicated in PS-MP-induced OA. F...

Limited Femoral Joint-Line Alteration and Preserved Extension Lateral Laxity Enhanced Early Outcomes in restricted kinematic alignment TKA.

BACKGROUND: Restricted kinematic alignment (rKA) total knee arthroplasty (TKA) seeks to restore native alignment while limiting excessive correction. ...

Deep learning Algorithm for Wound assessment after total kNee (DAWN) arthroplasty : a prospective study protocol.

AIMS: This study aims to develop and internally validate an AI approach based on a deep learning (DL) algorithm to classify wound photographs as eithe...

Reduction of Electronic Medical Record Documentation Time and Burden Using an Artificial Intelligence Scribe Tool in an Orthopaedic Clinic.

INTRODUCTION: With an aging population in the United States, the demand for joint arthroplasty procedures continues to rise. As patient volumes increa...

Multi-channel spatial attention network for MRI super-resolution.

Magnetic resonance imaging (MRI) provides important structural and functional information for clinical diagnosis. Due to the limitations in the device...

A gated task-attentive multi-task network for unified retinal image analysis.

Diabetic retinopathy (DR) is one of the major causes of preventable blindness in the world, and accurate large-scale screening tools are needed urgent...

Recycling nickel-rich cathodes toward structural and functional circularity: a perspective.

The increasing use of nickel-rich (Ni ≥ 0.6) layered oxide cathodes in lithium-ion batteries creates an urgent need for recycling, for which existing ...

CT-based 3D planning-supported stem-free screw-cement augmentation versus 2D radiograph-planned short-stem reconstruction for AORI type I-II medial tibial defects in TKA: a two-year retrospective study.

BACKGROUND: Medial tibial defects in varus knee osteoarthritis (KOA) challenge alignment and tibial support in primary total knee arthroplasty (TKA). ...

Comparing the Effectiveness of Artificial Intelligence Technology with 6th Year Dental Students for the Diagnosis of Inflammatory Bone Lesions of the Mandible in Panoramic Radiography.

This study aimed to evaluate the potential role of artificial intelligence (AI) as a diagnostic support tool for inexperienced clinicians by comparing...

Assessing ChatGPT's responses to office ergonomics and spine health questions.

The objective of this study was to assess ChatGPT's responses to common office ergonomics and spine health questions. ChatGPT was asked the 50 most fr...

A workflow utilizing general-purpose large language models for efficient structuring and data mining of bone scintigraphy narratives.

Whole-body bone scintigraphy is pivotal for skeletal evaluation in oncological monitoring, yet the unstructured nature of clinical reports impedes eff...

Deep learning-based classification of interphalangeal finger joints in erosive hand osteoarthritis.

National-scale prediction of arsenic, fluoride and its co-occurrence in groundwater of Mexico: Implications for drinking-water.

Arsenic (As) and fluoride (F-) in groundwater pose significant health risks and frequently co-occur in arid and semi-arid settings. We assembled a dat...

Machine Learning for Revision Joint Arthroplasty: A Systematic Review of Distinct Challenges, Current Performance, and Clinical Readiness.

BACKGROUND: Given the high complication rates and economic burden of revision total joint arthroplasty, machine learning (ML) models may offer a tool ...

Dual-Scale StaphAIR: Predictive Modeling for the Diagnosis of S. aureus Infection via Simultaneous Detection and Quantification of Cytokines and Antibodies.

Staphylococcus aureus causes life-threatening bacterial infections. Current diagnostics for bone infection consist of invasive sample collection and l...

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...

An interpretable PET/CT-based radiomic-clinical model for predicting bone marrow involvement in follicular lymphoma: comparison of pelvic and spine-pelvis VOI frameworks.

PURPOSE: To investigate the feasibility of non-invasively identifying bone marrow involvement (BMI) in follicular lymphoma (FL) using baseline 18F-FDG...

MDVM-UNet: lumbar MRI segmentation and lordosis angle measurement via a dual-driven mechanism.

With the rising incidence of degenerative lumbar spine disorders, accurate segmentation of spinal structures based on magnetic resonance imaging (MRI)...

Artificial Intelligence-Enhanced Identification of Incidental Findings in Prostate MRI.

OBJECTIVES: The use of prostate magnetic resonance imaging (MRI) is increasing, and coverage often captures substantial portions of the pelvis, visual...