Orthopedics

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

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Optimized glaucoma detection using HCCNN with PSO-driven hyperparameter tuning.

. This study is focused on creating an effective glaucoma detection system employing a Hybrid Centri...

Towards real-time conformal palliative treatment of spine metastases: A deep learning approach for Hounsfield Unit recovery of cone beam CT images.

BACKGROUND: The extension of onboard cone-beam CT (CBCT) imaging for real-time treatment planning is...

Sharper insights: Adaptive ellipse-template for robust fovea localization in challenging retinal landscapes.

Automated identification of retinal landmarks, particularly the fovea is crucial for diagnosing diab...

Outer lumen arterial imaging with CTA: A potential tool to diagnose vertebral artery dissection.

Differentiating vertebral artery dissection (VAD) from vertebral artery hypoplasia (VAH) can be diff...

From marker to markerless: Validating DeepLabCut for 2D sagittal plane gait analysis in adults and newly walking toddlers.

The use of 3D marker-based motion analysis systems is considered the gold standard for tracking limb...

Predicting lung cancer bone metastasis using CT and pathological imaging with a Swin Transformer model.

Bone metastasis is a common and serious complication in lung cancer patients, leading to severe pain...

Multiscale metal-based nanocomposites for bone and joint disease therapies.

Bone and joint diseases are debilitating conditions that can result in significant functional impair...

Joint resting state and structural networks characterize pediatric bipolar patients compared to healthy controls: a multimodal fusion approach.

Pediatric bipolar disorder (PBD) is a highly debilitating condition, characterized by alternating ep...

Classification of Grades of Subchondral Sclerosis from Knee Radiographic Images Using Artificial Intelligence.

Osteoarthritis (OA) is the most common joint disease, affecting over 300 million people worldwide. S...

Optimal structural characteristics of osteoinductivity in bioceramics derived from a novel high-throughput screening plus machine learning approach.

Osteoinduction is an important feature of the next generation of bone repair materials. But the key ...

Comparison of CNNs and Transformer Models in Diagnosing Bone Metastases in Bone Scans Using Grad-CAM.

PURPOSE: Convolutional neural networks (CNNs) have been studied for detecting bone metastases on bon...

Use of Artificial Intelligence on Imaging and Preoperatory Planning of the Knee Joint: A Scoping Review.

: This scoping review explores the current state of the art of AI-based applications in the field of...

Comparative analysis of ChatGPT-4o mini, ChatGPT-4o and Gemini Advanced in the treatment of postmenopausal osteoporosis.

BACKGROUND: Osteoporosis is a sex-specific disease. Postmenopausal osteoporosis (PMOP) has been the ...

Attention LinkNet-152: a novel encoder-decoder based deep learning network for automated spine segmentation.

Segmenting the spine from CT images is crucial for diagnosing and treating spine-related conditions ...

A prediction model of pediatric bone density from plain spine radiographs using deep learning.

Osteoporosis, a bone disease characterized by decreased bone mineral density (BMD) resulting in decr...

Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning.

INTRODUCTION: Aging is characterized by gradual structural and functional changes in the body over t...

Prospective multicenter external validation of the rib fracture frailty index.

BACKGROUND: The Rib Fracture Frailty (RFF) Index is an internally validated machine learning-based r...

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