Orthopedics

Prediction of Medial Tibiofemoral Joint Reaction Force Using Custom Instrumented Insoles and Neural Networks for Walking and Running Tasks.

Medial tibiofemoral joint reaction force is a clinically relevant variable for knee osteoarthritis p...

Enabling Early Identification of Malignant Vertebral Compression Fractures via 2.5D Convolutional Neural Network Model with CT Image Analysis.

STUDY DESIGN: This study employed a retrospective data analysis approach combined with model develop...

Axial Skeletal Assessment in Osteoporosis Using Radiofrequency Echographic Multi-spectrometry: Diagnostic Performance, Clinical Utility, and Future Directions.

Osteoporosis, a prevalent skeletal disorder, necessitates accurate and accessible diagnostic tools f...

Adolescent lumbar disc herniation: etiology, diagnosis, and treatment options.

Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult...

BoneDat, a database of standardized bone morphology for in silico analyses.

In silico analysis is key to understanding bone structure-function relationships in orthopedics and ...

Generalizable model to predict new or progressing compression fractures in tumor-infiltrated thoracolumbar vertebrae in an all-comer population.

OBJECTIVE: Neurosurgical evaluation is required in the setting of spinal metastases at high risk for...

Robust Radiomic Signatures of Intervertebral Disc Degeneration from MRI.

STUDY DESIGN: A retrospective analysis.

Bridging Health Literacy Gaps in Spine Care: Using ChatGPT-4o to Improve Patient-Education Materials.

BACKGROUND: Patient-education materials (PEMs) are essential to improve health literacy, engagement,...

MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution.

Facial micro-expression recognition (MER) is a challenging problem, due to transient and subtle micr...

Correction: Machine learning-based survival models for predicting rehospitalization of older hip fracture patients: a retrospective cohort study.

Defining Clinically Meaningful Subgroups in Patients Undergoing Arthroscopic Rotator Cuff Repair Using Unsupervised Machine Learning.

BACKGROUND: Outcomes after arthroscopic rotator cuff repair (RCR) are frequently measured through cl...

TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network.

Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where ...

A Coarse-to-Fine Multi-Hypothesis Method for Ambiguous Hand Pose Estimation.

In hand pose estimation, challenges such as occlusion often result in partial observation of a human...

Melioidosis molecular diagnostics: An update.

Melioidosis, a fatal tropical disease, presents a wide array of clinical manifestations, including a...

Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis.

BACKGROUND: Chordomas are primary bone lesions originating from embryonic notochord remnants, most c...

Retinal Vessel Traits and Age-Related Eye Disease in the Canadian Longitudinal Study on Aging.

BACKGROUND: To cross-sectionally and longitudinally examine whether retinal vessel traits are associ...

Automated quantitative analysis of peri-articular bone microarchitecture in HR-pQCT knee images.

UNLABELLED: Applying HR-pQCT to image the knee necessitates the development and validation of novel ...

In vitro processes alter the embryonic disc epigenome and transcriptome in the pre-implantation elongated bovine embryo†.

The objective was to quantify the effect of the in vitro procedures on the epigenome and transcripto...

Current Concepts on Imaging and Artificial Intelligence of Osteosarcopenia in the Aging Spine - A Review for Spinal Surgeons by the SRS Adult Spinal Deformity Task Force on Senescence.

STUDY DESIGN: Narrative review.

Artificial intelligence-based quantitative bone marrow pathology analysis for myeloproliferative neoplasms.

The evaluation of bone marrow pathology is essential for diagnosing and classifying myeloproliferati...

Identifying patients at risk of increased health utilization following lumbar spine surgery.

BACKGROUND: Adequate preoperative identification of patients at risk of significant healthcare utili...