Orthopedics

A multimodal deep learning framework for clinical nursing assessment in lumbar fusion surgery via representation learning and feature extraction.

Medical image interpretation plays a critical role in lumbar fusion surgery, where accurate analysis of anatomical structures is essential for clinical assessment. However, most existing deep learning approaches rely primarily on visual features and fail to effectively integrate heterogeneous clinical information. This study proposes a multimodal deep learning framework for lumbar spine image inte...

Deep learning for automated diagnosis and differentiation of otitis media on temporal bone CT.

BACKGROUND: The accurate diagnosis of otitis media (OM) has long been a challenge for clinicians (especially for less experienced clinicians) due to the variety of types and the complex anatomical structures of the middle ear. Although deep learning (DL) based on different examination methods (mostly otoscopy) has been applied to the diagnosis of single species OM in previous studies, DL using tem...

Advanced machine learning model for Cobb angle progression in adolescent idiopathic scoliosis with surface topography: a multicenter, prospective, observational study.

INTRODUCTION: Excessive radiographic exposure in the follow-up of adolescent idiopathic scoliosis (AIS) remains a clinical concern. Surface topography...

Comparison of automated robotic arm-assisted PET/computed tomography-guided metabolic bone marrow biopsy with conventional bone marrow trephine biopsy for evaluating bone marrow infiltration in newly diagnosed lymphoma.

OBJECTIVES: Bone marrow involvement (BMI) upstages lymphoma and influences prognosis and treatment. Conventional bone marrow trephine biopsy (BMTB) ma...

Prevalence and determinants of sacroiliac joint bone marrow oedema in the general population in Germany: a population-based cross-sectional study.

BACKGROUND: MRI-detected bone marrow oedema in sacroiliac joints is central to diagnosing axial spondyloarthritis, influencing treatment decisions inc...

Enhancing fear of re-injury classification after ACL reconstruction by integrating biomechanical and electromyography data using multimodal machine learning methods.

Fear of re-injury after anterior cruciate ligament (ACL) rupture often hinders return-to-sport and has been linked to movement patterns associated wit...

Accurate estimation of hip range of motion using MediaPipe and inertial sensors with machine learning models.

Accurate, objective assessment of hip joint range of motion (ROM) is essential for orthopedic diagnosis and rehabilitation. Conventional tools, such a...

Ai-generated personalized informed consent for elective spinal surgery: a comparative study using retrieval-augmented generation.

BACKGROUND: Informed consent (IC) documents in spine surgery frequently lack procedure-specific risk data, quantitative complication rates, and discus...

Deep Learning-Based Segmentation of Fetal Anatomical Structures in the First Trimester.

OBJECTIVES: To develop and evaluate an artificial intelligence (AI) system that automatically identifies and classifies the fetal structures in the fi...

Complementary roles of convolutional neural networks and multimodal large language models (ChatGPT) in radiographic implant identification : A clinical and exploratory study.

BACKGROUND: Accurate identification of implants in total knee arthroplasty (TKA) is essential for revision arthroplasty but is often complicated by in...

[Artificial intelligence algorithm for bone age estimation].

BACKGROUND: Bone age (BA) estimation with automated methods can eliminate interindividual variation. OBJECTIVE: To evaluate BA by creating an artifici...

National Institute of Allergy and Infectious Diseases (NIAID) - Bundeswehr Institute of Radiobiology (BIR) Joint Programmatic Workshop on a Global Approach to Medical Countermeasure Development in Radiological Public Health Preparedness.

This invited commentary grew out of a presentation made at the 2025 ConRad Meeting in Munich, Germany, and summarizes talks made by researchers suppor...

Machine learning and response surface methodology for optimization and prediction of tribological performance of PLA/rice husk biochar composites.

The present study investigates the tribological behaviour of polylactic acid (PLA) composites reinforced with rice husk biochar (RHBC) through an inte...

An intelligent auxiliary diagnostic system for early osteoporosis screening using stacking ensemble learning.

Robust disease prognosis via diagnostic knowledge preservation: A sequential learning approach.

Accurate disease prognosis is essential for patient care but is often hindered by the scarcity of longitudinal data. This study explores deep learning...

Prenatal behavioral contagion through maternal yawning and fetal resonance.

Yawning is a phylogenetically preserved and highly stereotyped behavior observed across vertebrates.1 In humans, it emerges early in development, as i...

Exploring the role of artificial intelligence in anterior cruciate ligament injuries in high-performing & elite athletes.

Anterior cruciate ligament (ACL) injuries dramatically impact athletes and sporting organisations. Artificial Intelligence (AI) driven systems, such a...

Explainable multimodal knee osteoarthritis diagnosis from X-ray images using anomaly detection with clinical and structural biomarkers.

Knee Osteoarthritis (KOA) is a common degenerative joint disease that impairs mobility and affects patients' quality of life. Although many studies ha...

[AI-based surgical planning of adult spinal deformities : Analysis of an AI-based tool for correction planning and execution employing patient-specific contoured rods].

BACKGROUND: Optimal alignment correction can potentially lower the high complication rates of adult scoliosis surgeries. AI tools can help make the an...

Supervised Learning for Collagen Segmentation in Bright-Field Histology: A Comparative Evaluation of U-Net and MLP.

PURPOSE: Quantifying collagen in histological slides is essential for diagnosing and monitoring fibrosis. However, the combination of PicroSirius Red ...