Orthopedics

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

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Showing 610-630 of 5,185 articles
Sharing reliable information worldwide: healthcare strategies based on artificial intelligence need external validation. Position paper.

Training machine learning models using data from severe COVID-19 patients admitted to a central hosp...

Synthetic data generation in motion analysis: A generative deep learning framework.

Generative deep learning has emerged as a promising data augmentation technique in recent years. Thi...

Machine Learning-Based CT Radiomics Model to Predict the Risk of Hip Fragility Fracture.

RATIONALE AND OBJECTIVES: This research aimed to develop a combined model based on proximal femur at...

Weakly supervised multi-modal contrastive learning framework for predicting the HER2 scores in breast cancer.

Human epidermal growth factor receptor 2 (HER2) is an important biomarker for prognosis and predicti...

Rim learning framework based on TS-GAN: A new paradigm of automated glaucoma screening from fundus images.

Glaucoma detection from fundus images often relies on biomarkers such as the Cup-to-Disc Ratio (CDR)...

Bioinspired Super-Robust Conductive Hydrogels for Machine Learning-Assisted Tactile Perception System.

Conductive hydrogels have attracted significant attention due to exceptional flexibility, electroche...

[Artificial intelligence in arthroplasty].

BACKGROUND: Artificial intelligence is very likely to be a pioneering technology in arthroplasty, wi...

Legged Robot with Tensegrity Feature Bionic Knee Joint.

Legged robots, designed to emulate human functions, have greatly influenced numerous sectors. Howeve...

Deep learning assisted prediction of osteogenic capability of orthopedic implant surfaces based on early cell morphology.

The surface modification of titanium (Ti) and its alloys is crucial for improving their osteogenic c...

Deep learning for automated hip fracture detection and classification : achieving superior accuracy.

AIMS: The aim of this study was to develop and evaluate a deep learning-based model for classificati...

An artificial intelligence-driven revolution in orthopedic surgery and sports medicine.

With the advancement of population aging, the incidence of orthopedic diseases increases annually. T...

Statin use and longitudinal bone marrow lesion burden: analysis of knees without osteoarthritis from the Osteoarthritis Initiative study.

OBJECTIVES: Knee subchondral bone marrow lesions (BMLs) are one of the hallmark features of structur...

JotlasNet: Joint tensor low-rank and attention-based sparse unrolling network for accelerating dynamic MRI.

Joint low-rank and sparse unrolling networks have shown superior performance in dynamic MRI reconstr...

Adjacent point aided vertebral landmark detection and Cobb angle measurement for automated AIS diagnosis.

Adolescent Idiopathic Scoliosis (AIS) is a prevalent structural deformity disease of human spine, an...

Predictive estimation of ovine hip joint centers: Neural networks vs. linear regression.

The purpose of this study was to investigate the utility of neural networks to estimate the hip join...

Elucidating the role of FBXW4 in osteoporosis: integrating bioinformatics and machine learning for advanced insight.

BACKGROUND: Osteoporosis (OP), often termed the "silent epidemic," poses a substantial public health...

Feasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.

BACKGROUND: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (...

Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts.

PURPOSE: Distinguishing between Osteonecrosis of the femoral head (ONFH) and Osteoarthritis (OA) can...

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