Orthopedics

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (...

Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals.

BACKGROUND: Rare bone diseases (RBDs) are an important group of conditions characterized by abnormal...

Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture.

OBJECTIVE: Satisfied reduction of fracture is hard to achieve. The purpose of this study is to devel...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...

Potential diagnostic and therapeutic gene in chronic low back pain through pyroptosis modulation: A silico study based on the dataset analysis.

Chronic low back pain (cLBP ) is a common condition that affects the quality of life, can be caused ...

MR-Transformer: A Vision Transformer-based Deep Learning Model for Total Knee Replacement Prediction Using MRI.

Purpose To develop a transformer-based deep learning model-MR-Transformer-that leverages ImageNet p...

Cluster Analysis of a Database of Surgically Managed Adult Spine Deformity (ASD)Patients: Determining the Minimal Clinically Important Difference for Each Cluster, Comparing Two Clustering Approaches.

STUDY DESIGN: retrospective analysis of prospectively collected data.

The Application of Artificial Intelligence-Based Bone Marrow Cell Analysis System in Pediatric Hematological Diseases.

INTRODUCTION: The clinical diagnosis of hematological diseases depends on the differential count of ...

Answer to the letter to the editor of T. Tu concerning "Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis" by B. Hajikarimloo, et al. (Eur spine J [2025]: doi: 10.1007/s00586-025-09053-y).

Clinical Implementation of Sixfold-Accelerated Deep Learning Superresolution Knee MRI in Under 5 Minutes: Arthroscopy-Validated Diagnostic Performance.

. Deep learning (DL) superresolution image reconstruction enables higher acceleration factors for co...

Integrated evaluation and optimization of acid fracturing effectiveness in carbonate reservoirs: Experimental insights and field validation.

The development of carbonate reservoirs is confronted with significant challenges, including pronoun...

Plasma Metabolomics and Machine Learning Reveals Metabolic Alterations and Diagnostic Biomarkers for Deep Venous Thrombosis in Hypertensive Patients after Traumatic Fracture.

We aimed to explore the metabolic dysregulations and diagnostic biomarkers for post-traumatic deep v...

An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via F-FDG PET/CT: a multicenter study.

PURPOSE: Accurate identification of bone marrow invasion (BMI) is critical for determining the progn...

Evaluation of Artificial Intelligence-based diagnosis for facial fractures, advantages compared with conventional imaging diagnosis: a systematic review and meta-analysis.

BACKGROUND: Currently, the application of convolutional neural networks (CNNs) in artificial intelli...

An efficient deep learning based approach for automated identification of cervical vertebrae fracture as a clinical support aid.

Cervical vertebrae fractures pose a significant risk to a patient's health. The accurate diagnosis a...

Deep Learning for Osteoporosis Diagnosis Using Magnetic Resonance Images of Lumbar Vertebrae.

This work uses T1, STIR, and T2 MRI sequences of the lumbar vertebrae and BMD measurements to identi...

Mechanical performance dataset for alloy with applications at low temperatures.

Modern technologies such as liquid fuels (hydrogen, oxygen), superconductivity, and quantum technolo...

Attention-based Shape-Deformation Networks for Artifact-Free Geometry Reconstruction of Lumbar Spine from MR Images.

Lumbar disc degeneration, a progressive structural wear and tear of lumbar intervertebral disc, is r...

A Geometric Deep Learning Model for Real-Time Prediction of Knee Joint Biomechanics Under Meniscal Extrusion.

Meniscal extrusion (ME) has been identified as a key factor contributing to knee joint dysfunction a...

Acousto-Electric Conversion Fiber Networks via Regional Activation of Schwann Cell-Derived Exosomes for Neurogenic Bone Regeneration.

Neurogenic bone regeneration is essential for the effective restoration of bone tissue functionality...

Applying binary mixed model to predict knee osteoarthritis pain.

Data used to understand knee osteoarthritis (KOA) often involves knee-level, rather than person-leve...