Orthopedics

Gated Backbone Fusion with Transformer Encoder for Diabetic Foot Osteomyelitis Screening and Localization in Radiographs.

Diabetic foot osteomyelitis (DFO) is a leading cause of lower-extremity complications in individuals with diabetes, and timely, accurate screening is critical to prevent severe outcomes such as limb amputation. Although conventional radiography remains the most accessible imaging modality, the subtle and heterogeneous appearance of DFO often results in delayed or missed detection. Despite the rich...

Artificial Intelligence in Spine Imaging Interpretation.

Spinal disorders, one of the leading causes of disability worldwide, are routinely assessed on imaging studies. Recent advancements in artificial intelligence for spine imaging interpretation may significantly improve diagnostic accuracy and workflow efficiency, using deep learning and conventional machine learning methods. This narrative review focuses on the innovative artificial intelligence ap...

Sharing a whole-/total-body [18F]FDG-PET/CT dataset with CT-derived segmentations: an ENHANCE.PET initiative.

We present a large whole-body and total-body curated dataset of dual-modality 2-deoxy-2-[18F]fluoro-D-glucose (FDG)-Positron Emission Tomography/Compu...

Elucidating the Role of Oxidative Stress-Associated Genes FKBP Prolyl Isomerase 5 in Osteoarthritis Development and Immunological Milieu.

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems.

OBJECTIVE: Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activ...

Robotic Pancreaticoduodenectomy with Right Lateral Approach to the Superior Mesenteric Artery: Surgical Artificial Intelligence-Based Visualization for Standardized Dissection.

BACKGROUND: Robotic pancreaticoduodenectomy enables precise vascular dissection, but dissection of the superior mesenteric artery (SMA) remains techni...

Artificial Intelligence and its Current Role in Clinical Outcome Prediction, Musculoskeletal Imaging, and Economic and Ethical Considerations within Orthopedics and Sports Medicine.

Risk prediction in spine surgery: a scoping review of traditional models, artificial intelligence, and the challenge of clinical translation.

BACKGROUND: Accurate perioperative risk stratification is essential to patient safety and informed consent in spine surgery. Traditional regression-ba...

Integrating Gait Analysis and AI Into Knee Osteoarthritis Care: Protocol for a 3-Phase Participatory Qualitative Study.

BACKGROUND: Knee osteoarthritis (OA) leads to pain, disability, and reduced quality of life. For advanced stages, knee arthroplasty surgery is the sta...

Confounding factors in the generalisation of synthetic CT to diagnostic spine MRI.

Generalisation of synthetic CT (sCT) generation to diagnostic MRI data in the spine faces many challenges, particularly when aiming at accurate visual...

Bone Magnetic Resonance Imaging: From Conventional Methods to AI-Driven Solutions.

With global population aging and increased life expectancy, bone diseases affect a substantial proportion of individuals worldwide, imposing a signifi...

A multiparameter model (OsteoSC-M3) for early detection and risk stratification of osteoporosis in women: a multicentre cohort study in China.

BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accuracy, and the gold-standard diagnostic method, dua...

Comparative evaluation of large language models for patient education after total knee arthroplasty.

BACKGROUND: Artificial intelligence (AI) tools are increasingly used to support healthcare communication. Total knee arthroplasty (TKA) is a common or...

Application of machine learning in osteoporosis screening: a narrative review.

Machine learning has the potential to address limitations of traditional osteoporosis screening through advanced data processing and pattern recogniti...

Synthetic cervical spine radiographs: expert validation and transfer learning for low-data settings.

Surgically Relevant Knee Phenotypes: The Modified Coronal Plane Alignment of the Knee (mCPAK) System - A Deep Learning-based Classification.

BACKGROUND: The coronal plane alignment of the knee (CPAK) classification proposes nine knee phenotypes based on constitutional limb alignment and joi...

Enhancing Readability of Surgical Patient Education Resources Using ChatGPT.

INTRODUCTION: Patient education materials are essential for informed decision-making. However, their readability often exceeds the sixth-grade reading...

Reachable Workspace as a Clinical Outcome for Upper Extremity Function: A Narrative Review.

Motion sensing technology can be utilized to capture detailed upper extremity (UE) motion to reconstruct an individual's three-dimensional (3D) reacha...

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

PURPOSE: Stroke risk correlates with the Biffl grading system in blunt cerebrovascular injury (BCVI). Although anti-thrombotic therapy is the mainstay...

Bibliometric and visual analysis of artificial intelligence-related research in osteoarthritis: Trends and frontiers (2008-2025).

Osteoarthritis (OA) causes joint pain, functional impairment, and significantly impacts patients' quality of life. Recent advancements in artificial i...