Orthopedics

Cascade learning in multi-task encoder-decoder networks for concurrent bone segmentation and glenohumeral joint clinical assessment in shoulder CT scans.

Osteoarthritis is a degenerative condition that affects bones and cartilage, often leading to struct...

A game theoretical model to examine pedestrian behaviour and safety on unsignalised slip lanes using AI-based video analytics.

Left-turn slip lanes, also known as channelised right-turn lanes in right-hand driving countries, ar...

Can a Large Language Model Interpret Data in the Electronic Health Record to Infer Minimum Clinically Important Difference Achievement of Knee Osteoarthritis Outcome Score-Joint Replacement Score Following Total Knee Arthroplasty?

BACKGROUND: Obtaining total knee arthroplasty patient-reported outcomes for quality assessment is co...

Development and validation of explainable machine learning models for female hip osteoporosis using electronic health records.

BACKGROUND: Hip fractures are associated with reduced mobility, and higher morbidity, mortality, and...

A Modular, Mechanical Knee Model for the Development and Validation of Robotic Testing Methodologies.

Six-degree-of-freedom robotic testing is used to gain insight into knee function by measuring the bi...

Magnetic resonance image generation using enhanced TransUNet in temporomandibular disorder patients.

OBJECTIVES: Temporomandibular disorder (TMD) patients experience a variety of clinical symptoms, and...

Correction to: Artificial intelligence-based, volumetric assessment of the bone marrow metabolic activity in [F]FDG PET/CT predicts survival in multiple myeloma.

CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.

Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...

Automated Measurements of Spinal Parameters for Scoliosis Using Deep Learning.

STUDY DESIGN: Retrospective single-institution study.

Beyond 3D Printing: How AI is Shaping the Future of Craniomaxillofacial Bone Tissue Engineering.

This perspective focuses on the potential of artificial intelligence (AI) in craniomaxillofacial (CM...

A flexible machine learning Mendelian randomization estimator applied to predict the safety and efficacy of sclerostin inhibition.

Mendelian randomization (MR) enables the estimation of causal effects while controlling for unmeasur...

Artificial Intelligence Aided Analysis of Anterior Segment Optical Coherence Tomography Imaging to Monitor the Device-Cornea Joint After Synthetic Cornea Implantation.

PURPOSE: The purpose of this study was to assess the utility of artificial intelligence (AI) assiste...

Machine learning-assisted classification of hip conditions in pediatric cerebral palsy patients using migration percentage measurements.

Hip displacement is a significant concern in children with cerebral palsy (CP), necessitating accura...

Unveiling Prognostic and Diagnostic Biomarkers in Knee and Hip Osteoarthritis: A Targeted Review.

Osteoarthritis is a multifactorial condition marked by the gradual deterioration of joint cartilage,...

Dental practitioners versus artificial intelligence software in assessing alveolar bone loss using intraoral radiographs.

OBJECTIVES: Integrating artificial intelligence (AI) in the dental field can potentially enhance the...

From the Archives-Commentary on "A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma".

A Machine Learning Algorithm to Estimate the Probability of a True Scaphoid Fracture After Wrist Trauma.

PURPOSE: To identify predictors of a true scaphoid fracture among patients with radial wrist pain fo...

Validation of a novel artificial intelligence model (SpinePose) to automatically and accurately predict spinopelvic parameters using scoliosis radiographs in an external cohort.

OBJECTIVE: SpinePose was developed in 2024 as a novel artificial intelligence (AI) tool to automatic...

Bridging innovation to implementation in artificial intelligence fracture detection : a commentary piece.

The deployment of AI in medical imaging, particularly in areas such as fracture detection, represent...

Ensemble learning of deep CNN models and two stage level prediction of Cobb angle on surface topography in adolescents with idiopathic scoliosis.

This study employs Convolutional Neural Networks (CNNs) as feature extractors with appended regressi...

An overview of artificial intelligence and machine learning in shoulder surgery.

Machine learning (ML), a subset of artificial intelligence (AI), utilizes advanced algorithms to lea...