Orthopedics

Illuminating the black box of traditional Chinese medicine: The pivotal role of transgenic fluorescent zebrafish.

ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese Medicine (TCM) holds significant therapeutic potential, yet its modernization is hindered by the inherent complexity of its formulations and uncertainties surrounding the precise mechanisms of action, efficacy, and safety profiles of its components. The zebrafish (Danio rerio) model, particularly transgenic fluorescent zebrafish (TFZ), has emerge...

Artificial intelligence in emergency skeletal X-ray: post-deployment monitoring and clinical impact of incorrect AI results.

OBJECTIVES: This study evaluates the impact of the artificial intelligence (AI) application BoneViewTM within a radiographer-supervised clinical workflow and subsequent effects on patient management. We examine false AI findings to understand the clinical consequences in skeletal X-ray examinations of suspected fracture injuries. MATERIALS & METHODS: This retrospective study was conducted at Bærum...

A metabolomics-driven machine learning model for osteoporosis risk prediction.

Osteoporosis, marked by decreased bone mineral density (BMD), poses a major public health concern by increasing fracture risk, lowering quality of lif...

Boundary sensitive-net-based lumbar vertebra segmentation and spondylolisthesis measurement.

Lumbar spine disorders represent a significant public health concern, with accurate diagnosis relying on vertebral segmentation and quantification. Tr...

Zero Echo Time Magnetic Resonance Imaging of the Spine.

Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed tomography-like visualization of cortical and tra...

Letter to the Editor concerning "External validation of SpineNetv2 deep learning system for automated lumbar spine MRI analysis: A multi-pathology diagnostic agreement study" by Wu et al. (Eur spine J [2025]; https://doi.org/10.1007/s00586-025-09543-z).

Experimental investigation of muscle-tendon unit geometry and kinematics in lower-limb muscles during gait: Current applications and future directions - A scoping review.

PURPOSE: Musculoskeletal (MSK) modeling and ultrasound imaging (USI) are complementary techniques that, when combined with three-dimensional gait anal...

Evaluation of ChatGPT-5 responses to patient-centered questions on stromal vascular fraction for knee osteoarthritis: fair to good quality and content.

Use of artificial intelligence and radiomics for diagnosis and prediction of osteoporotic fractures: a systematic review.

AIM: Osteoporosis (OP) is a prevalent metabolic bone disease causing millions of fractures annually, leading to significant healthcare and economic bu...

Assessing the impact of groundwater abstraction and concrete dam fractures on saltwater intrusion using numerical modeling and interpretable machine learning.

Reliable prediction of SWI is essential for protecting coastal groundwater. In this study, the SWI wedge length in a sloping coastal aquifer controlle...

Practical AI-based cell extraction and spatial statistics for large 3D bone marrow tissue images.

Although the molecular regulation of hematopoiesis is well characterized, the spatial organization of hematopoietic cells within bone marrow (BM) rema...

Spinal disease image segmentation technology integrating U-ResNet and shape-aware attention.

The incidence of spinal diseases is rising and affecting younger people, making early and accurate diagnosis based on medical imaging crucial for trea...

Robotic assessment of proprioception in individuals with patellar tendinopathy: A feasibility and pilot study.

BACKGROUND: Individuals with patellar tendinopathy often exhibit impaired proprioception, which may contribute to symptom persistence and injury recur...

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in volume and intrinsic tissue characteristics in an o...

Infrared thermography in the detection of arthritis: a systematic review of diagnostic performance compared with joint ultrasound.

Early detection of arthritis in autoimmune rheumatic diseases (ARDs) is critical to prevent irreversible damage. Joint ultrasound (US) offers high sen...

Lifelong behavioral screen reveals an architecture of vertebrate aging.

Mapping behavior of individual vertebrate animals across lifespan could provide an unprecedented view into the lifelong process of aging. We created a...

Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study.

BACKGROUND: Single-leg squat (SLS) performance is widely used to screen functional movement quality, but practical assessment often relies on expert v...

Towards the future of Endocrine Laboratory Medicine: defining the role of laboratory medicine specialists to strengthen the clinical-biological partnership - a joint opinion paper of EFLM-C:YS, IFCC TF-YS, and ESE-EYES.

Clinical endocrinology relies critically on high-quality biochemical data for diagnosis, therapeutic decisions, and long-term patient monitoring. As e...

Deep-Fed: A comprehensive solution for precise bone fracture identification in athletes.

Bone fracture diagnosis is a critical aspect of sports medicine, where accurate and timely detection enables effective treatment and rapid recovery. T...

Generative artificial intelligence in osteoarthritis: A systematic scoping review of current applications and future directions.

OBJECTIVE: Generative artificial intelligence (GenAI) is a transformative tool capable of producing realistic synthetic data, modeling complex data, a...