Orthopedics

Latest AI and machine learning research in orthopedics for healthcare professionals.

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Showing 316-336 of 5,177 articles
Assessing information provided via artificial intelligence regarding distal biceps tendon repair surgery.

PURPOSE: The purpose of this study was to analyze the quality, accuracy, reliability and readability...

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, exist...

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 ta...

The imaging crisis in axial spondyloarthritis.

Imaging holds a pivotal yet contentious role in the early diagnosis of axial spondyloarthritis. Alth...

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 Compu...

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 sam...

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 f...

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 ...

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

BACKGROUND: Due to differences in subjective experience and professional level among doctors, as wel...

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 con...

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...

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 ...

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 format...

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 t...

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