Orthopedics

Prediction of cervical spondylotic myelopathy from a plain radiograph using deep learning with convolutional neural networks.

PURPOSE: This study aimed to develop deep learning algorithms (DLAs) utilising convolutional neural networks (CNNs) to classify cervical spondylotic myelopathy (CSM) and cervical spondylotic radiculopathy (CSR) from plain cervical spine radiographs.

Global burden of vertebral fractures from 1990 to 2021 and projections for the next three decades.

BACKGROUND: Vertebral fractures are linked to significant disability and mortality risks. Yet, existing studies on their global burden are outdated and lack predictive foresight.

Internal sensory models allow for balance control using muscle spindle acceleration feedback.

Motor control requires sensory feedback, and the nature of this feedback has implications for the tasks of the central nervous system (CNS): for an ap...

A deep learning-based approach to automated rib fracture detection and CWIS classification.

PURPOSE: Trauma-induced rib fractures are a common injury. The number and characteristics of these fractures influence whether a patient is treated no...

Impact of test set composition on AI performance in pediatric wrist fracture detection in X-rays.

OBJECTIVES: To evaluate how different test set sampling strategies-random selection and balanced sampling-affect the performance of artificial intelli...

The underlying molecular mechanisms and biomarkers of Hip fracture combined with deep vein thrombosis based on self sequencing bioinformatics analysis.

BACKGROUND: Thrombus formation is a severe complication in orthopedic surgery, significantly increasing mortality in patients with fractures. Therefor...

Research on Machine Learning Models Based on Cranial CT Scan for Assessing Prognosis of Emergency Brain Injury.

BACKGROUND: To evaluate the prognosis of patients with traumatic brain injury according to the Computed Tomography (CT) findings of skull fracture and...

The imaging crisis in axial spondyloarthritis.

Imaging holds a pivotal yet contentious role in the early diagnosis of axial spondyloarthritis. Although MRI has enhanced our ability to detect early ...

Stromal vascular fraction in canine osteoarthritis: advantages, applications, and insights for veterinary practitioners.

Canine osteoarthritis (OA) stands as a prevalent and excruciating joint condition that represents a promising application of stromal vascular fraction...

Artificial intelligence algorithm improves radiologists' bone age assessment accuracy artificial intelligence algorithm improves radiologists' bone age assessment accuracy.

BACKGROUND: Artificial intelligence (AI) algorithms can provide rapid and precise radiographic bone age (BA) assessment. This study assessed the effec...

Comparison of lumbar disc degeneration grading between deep learning model SpineNet and radiologist: a longitudinal study with a 14-year follow-up.

PURPOSE: To assess the agreement between lumbar disc degeneration (DD) grading by the convolutional neural network model SpineNet and radiologist's vi...

Integrating Network Analysis and Machine Learning to Elucidate Chemical-Induced Pancreatic Toxicity in Zebrafish Embryos.

Zebrafish (Danio rerio) are a popular vertebrate model for high-throughput toxicity testing, serving as a model for embryonic development and disease ...

From error to prevention of wrong-level spine surgery: a review.

Wrong-level spine surgery remains a significant concern in spine surgery, leading to devastating consequences for patients and healthcare systems alik...

Accuracy and Reliability of Multimodal Imaging in Diagnosing Knee Sports Injuries.

BACKGROUND: Due to differences in subjective experience and professional level among doctors, as well as inconsistent diagnostic criteria, there are i...

Dapagliflozin targets the crosstalk between apoptosis, autophagy, and Hedgehog signaling pathways through AMPK activation in the adjuvant-induced arthritic rat model.

Rheumatoid arthritis is a long-term autoimmune disorder, causes joint capsule, cartilage, and bone damage. Dapagliflozin, a novel antidiabetic drug, d...

Dexmedetomidine versus Magnesium Sulphate in Ultrasound-Guided Bilateral bi-Level Erector Spinae Plane Block in Corrective Scoliosis Surgery: A Randomized Controlled Clinical Trial.

OBJECTIVES: There is a scarcity of research regarding the effects of LAs adjuvant drugs in erector spinae plane block (ESPB), especially in scoliosis ...

Hormonal regulation and expression dynamics of Bmp4 in the reproductive cycle of Pampus argenteus.

As a member of the bone morphogenetic protein (BMP) family, Bmp4 plays a crucial role in bone formation, early developmental stage and the regulation ...

Side-to-side characterisation of cellular content, soluble factors and in vitro potential on chondrocytes for bone marrow aspirate concentrate and adipose-derived stromal vascular fraction.

PURPOSE: Orthobiologics gained popularity for the treatment of musculoskeletal pathologies, including osteoarthritis (OA). Bone marrow aspirate concen...

Reinforcement Learning-Driven Path Generation for Ankle Rehabilitation Robot Using Musculoskeletal-Informed Energy Optimization.

In rehabilitation robotics, optimizing energy consumption and high interaction forces is essential to prevent unnecessary muscle fatigue and excessive...

A yak bone collagen-derived antioxidant peptide with excellent stability alleviates UVA-induced photoaging by activating the Keap1/Nrf2 signaling pathway.

BACKGROUND: Prolonged exposure to ultraviolet A (UVA) rays can trigger oxidative stress, leading to skin photoaging. Our team previously identified fo...