Orthopedics

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

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Showing 547-567 of 5,185 articles
A deep learning and statistical shape modeling-based method for assessing intercondylar notch volume in anterior cruciate ligament reconstruction.

BACKGROUND: Anterior cruciate ligament (ACL) reconstruction is a widely performed procedure for ACL ...

Artificial intelligence and machine learning in knee arthroplasty.

BACKGROUND: Artificial intelligence (AI) and its subset, machine learning (ML), have significantly i...

Clinical Application of Artificial Intelligence Preoperative Planning System Combined with Expert Database Retrieval in Complex Revision Hip Surgery.

Accurate preoperative planning in revision hip arthroplasty is crucial for achieving successful outc...

Nonlocal models in biology and life sciences: Sources, developments, and applications.

Mathematical modeling is one of the fundamental techniques for understanding biophysical mechanisms ...

Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology.

BACKGROUND: Temporomandibular joint (TMJ) disorders are a significant cause of orofacial pain. Artif...

Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement.

Driver drowsiness remains a critical factor in road safety, necessitating the development of robust ...

Identify the potential target of efferocytosis in knee osteoarthritis synovial tissue: a bioinformatics and machine learning-based study.

INTRODUCTION: Knee osteoarthritis (KOA) is a degenerative joint disease characterized by the progres...

Machine Learning-Based Prediction of Postoperative Pneumonia Among Super-Aged Patients With Hip Fracture.

BACKGROUND: Hip fractures have become a significant health concern, particularly among super-aged pa...

Prediction and validation of anoikis-related genes in neuropathic pain using machine learning.

BACKGROUND: Neuropathic pain (NP) can be induced by a variety of clinical conditions, such as spinal...

Comparative analysis of machine learning and deep learning algorithms for knee arthritis detection using YOLOv8 models.

Knee arthritis is a prevalent joint condition that affects many people worldwide. Early detection an...

Large Model Era: Deep Learning in Osteoporosis Drug Discovery.

Osteoporosis is a systemic microstructural degradation of bone tissue, often accompanied by fracture...

Deep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision-Making Using Magnetic Resonance Imagings: A Retrospective Study.

BACKGROUND: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on...

Machine learning-based optimal design of fibrillar adhesives.

Fibrillar adhesion, observed in animals like beetles, spiders and geckos, relies on nanoscopic or mi...

Artificial intelligence for osteoporosis detection on panoramic radiography: A systematic review and meta analysis.

INTRODUCTION: Osteoporosis is a disease characterized by low bone mineral density and an increased r...

Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization.

RATIONALE AND OBJECTIVES: This study assesses the image quality of temporal bone ultra-high-resoluti...

CECRel: A joint entity and relation extraction model for Chinese electronic medical records of coronary angiography via contrastive learning.

Entity and relation extraction from Chinese electronic medical records (EMRs) is a crucial foundatio...

Machine learning using random forest to differentiate between blow and fall situations of head trauma.

Blunt head trauma is a common occurrence in forensic practice. Interpreting the origin of craniocere...

Investigation of Trajectory Tracking Control in Hip Joints of Lower-Limb Exoskeletons Using SSA-Fuzzy PID Optimization.

The application of lower-limb exoskeleton robots in rehabilitation is becoming more prevalent, where...

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