Orthopedics

Machine learning-based optimal design of fibrillar adhesives.

Fibrillar adhesion, observed in animals like beetles, spiders and geckos, relies on nanoscopic or microscopic fibrils to enhance surface adhesion via 'contact splitting'. This concept has inspired engineering applications across robotics, transportation and medicine. Recent studies suggest that functional grading of fibril properties can improve adhesion, but this is a complex design challenge tha...

Automated Scoliosis Cobb Angle Classification in Biplanar Radiograph Imaging With Explainable Machine Learning Models.

STUDY DESIGN: Retrospective cohort study.

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 risk of fractures. In dentistry, mandibular bone mo...

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-resolution (UHR) Computed tomography (CT) scans in adults ...

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 foundation for constructing medical knowledge graphs and su...

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 craniocerebral injuries can be a challenging process, partic...

Predictive utility of the machine learning algorithms in predicting tendinopathy: a meta-analysis of diagnostic test studies.

BACKGROUND: Tendinopathy, a degenerative condition of tendon collagen protein, is a common sports injury among elite athletes. Despite its prevalence,...

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 the precision of control and the speed of respons...

American academy of Orthopedic Surgeons' OrthoInfo provides more readable information regarding meniscus injury than ChatGPT-4 while information accuracy is comparable.

INTRODUCTION: Over 61% of Americans seek health information online, often using artificial intelligence (AI) tools like ChatGPT. However, concerns per...

Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods.

Static Poisson's ratio (νs) is an essential property used in petroleum calculations, namely fracture pressure (FP). The νs is often determined in the ...

Impact of deep learning on pediatric elbow fracture detection: a systematic review and meta-analysis.

OBJECTIVES: Pediatric elbow fractures are a common injury among children. Recent advancements in artificial intelligence (AI), particularly deep learn...

SegFormer3D: Improving the Robustness of Deep Learning Model-Based Image Segmentation in Ultrasound Volumes of the Pediatric Hip.

Developmental dysplasia of the hip (DDH) is a painful orthopedic malformation diagnosed at birth in 1-3% of all newborns. Left untreated, DDH can lead...

Capsule network-based deep learning for early and accurate diabetic retinopathy detection.

Glaucoma, an optic nerve disease resulting in blindness if left untreated, is a difficult condition in healthcare in view of its diagnostic difficulti...

Accuracy of artificial intelligence in detecting tumor bone metastases: a systematic review and meta-analysis.

BACKGROUND: Bone metastases (BM) represent a prevalent complication of tumors. Early and accurate diagnosis, however, is a significant hurdle for radi...

Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine.

BACKGROUND: Comprehending the biomechanical characteristics of the human lumbar spine is crucial for managing and preventing spinal disorders. Precise...

Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem.

The purpose of this article is to evaluate the application of artificial intelligence (AI) from the perspective of the orthopaedic industry with respe...

Assessment and comparison of artificial intelligence-generated information regarding shoulder arthroplasty from multiple interfaces.

BACKGROUND: This study aims to analyze and compare the quality, accuracy, and readability of information regarding anatomic total shoulder arthroplast...

Finger-aware Artificial Neural Network for predicting arthritis in Patients with hand pain.

Arthritis is an inflammatory condition associated with joint damage, the incidence of which is increasing worldwide. In severe cases, arthritis can re...

Locomotion design of transverse ledge brachiation robot with active wrist joint for lateral posture compensation.

A transverse ledge brachiation robot is designed to move transversely along a ledge on a vertical wall by generating energy from the swinging motion o...

Preoperatively predicting failure to achieve the minimum clinically important difference and the substantial clinical benefit in patient-reported outcome measures for total hip arthroplasty patients using machine learning.

BACKGROUND: Attention to the collection of patient-reported outcomes measures (PROMs) associated with total hip arthroplasty (THA) is growing. The aim...