Orthopedics

Transcription Factor SPI1 Mediates Chronic Neuropathic Pain by Activating NLRC4 Transcription to Drive Microglial Activation and Inflammation.

Microglial polarization plays a key role in the process of chronic neuropathic pain (CNP). This study aims to investigate the molecular mechanism by which the transcription factor SPI1 mediates microglial polarization and participates in CNP by regulating NOD-like receptor C4 (NLRC4) expression. The GSE124272 dataset (blood samples of 8 intervertebral disc degeneration patients and 8 controls) was...

A Bayesian approach to temporal surgical segmentation model fusion.

PURPOSE: Robotic-assisted surgery (RAS) generates vast amounts of video and robotic data, presenting opportunities for machine learning. Video-based models, in particular, that can temporally segment frames by ontological categories such as procedure type, phase, steps, actions, etc., are needed. Training separate models for each category neglects statistical dependencies between categories and ca...

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 clinica...

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 t...

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...

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 ...