Orthopedics

Automatic radiation-free evaluation of Cobb angle for spinal curvature based on fringe projection profilometry and deep learning technology.

OBJECTIVE: Pediatric scoliosis is the most prevalent spinal disorder, often leading to abnormal curvature and deformation of the spine. Early detection is essential for timely intervention, particularly in growing adolescents. In this study, we present a novel, fully automated, radiation-free method for Cobb angle evaluation, combining fringe projection profilometry with deep learning technologies...

Reconstruction of Facial Bony Defects Using 3D Printed Polylactic Acid/β-Tricalcium Phosphate Bioimplant.

Reconstruction of facial defects requires highly accurate techniques that utilize modern effective technologies. 3D printing has revolutionized the field of reconstructive surgery. The introduction of new materials, devices, and technologies that utilize advanced computer modeling and artificial intelligence has increased the safety and efficiency of these techniques. Bioactive materials induce a ...

[Advances in application of digital orthopedic technology in total hip arthroplasty for developmental dysplasia of hip].

OBJECTIVE: To review the research progress on the application of digital orthopedic technology in total hip arthroplasty (THA) for developmental dyspl...

[Geriatric hip fracture and enhanced recovery after surgery: current status and future perspectives].

In recent years, considerable progress has been made in the specific development and practice of enhanced recovery after surgery (ERAS) for geriatric ...

Prospective study assessing the validity of accelerated 2D Fast Spin Echo (2D FSE) based high-resolution knee MRI and T2 mapping using deep learning reconstruction.

BACKGROUND: A routine fast spin-echo (FSE) MRI protocol is widely used to evaluate structural injuries of the knee. While adding a T2 mapping sequence...

The balance between artificial and human intelligence in clinical practice.

INTRODUCTION: Artificial intelligence (AI) is becoming increasingly integrated into clinical care in hand surgery. Its applications extend across diag...

Identification of COL8A2, MICAL2, and TNFSF10 as potential biomarkers associated with both exercise response and osteoarthritis: a multi-omics integration study.

UNLABELLED: To identify molecular biomarkers associated with both osteoarthritis (OA) pathology and exercise response through multi-omics integration....

Dynamic Ensemble Selection for Early Detection of Deep Vein Thrombosis in Fracture Patients.

Deep vein thrombosis (DVT) in fracture patients is often clinically silent, with a high incidence of thrombosis and associated mortality. Static machi...

An AI-guided framework reveals conserved features governing microRNA strand selection.

MicroRNAs (miRNAs) are central regulators of gene expression, yet how cells choose between the two strands (5p or 3p) of a miRNA duplex during biogene...

Open Set Domain Adaptation via Known Joint Distribution Matching and Unknown Classification Risk Reformulation.

Open set domain adaptation (OSDA) is an important problem in machine learning and computer vision. In OSDA, one is given a labeled dataset from a sour...

Risk Factors and Prediction of Chronic Postsurgical Pain Among Patients With Distal Lower Extremity Fracture: Cohort Analysis.

BACKGROUND: The surgical interventions aimed at fracture repair are often accompanied by chronic postsurgical pain (CPSP), which is associated with de...

Nomograms Based on X-Ray Radiomics for Predicting Pain Progression in Knee Osteoarthritis Using Data From the Foundation for the National Institutes of Health: Development and Validation Study.

BACKGROUND: Knee osteoarthritis (KOA) is one of the most prevalent chronic musculoskeletal disorders among the older adult population. Screening popul...

Development of a cloud-based estimator for analysing the disc-fovea angle in fundus images using a stacking ensemble model.

PURPOSE: To develop a cloud-based software for analysing the disc-fovea angle (DFA) in fundus images using the stacking ensemble model and to evaluate...

Short-TR Acquisition Time-of-flight MR Angiography with Deep Learning Reconstruction: Technical Feasibility and Initial Clinical Evaluation in Moyamoya Disease.

PURPOSE: To develop and evaluate short-TR acquisition time-of-flight (STRA-TOF) MR angiography (MRA), which combines an optimized STRA with deep learn...

Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.

PURPOSE: To evaluate the diagnostic accuracy of artificial intelligence (AI) based on convolutional neural network (CNN) in diagnosing oral squamous c...

Harnessing AI in prosthodontics and implant dentistry: An umbrella review of systematic evidence.

PURPOSE: To synthesize evidence from systematic reviews on artificial intelligence (AI) applications in prosthodontics and implant dentistry, focusing...

Machine learning based prioritisation of genes associated with osteoarthritis joint damage in animals.

OBJECTIVES: To systematically prioritise unstudied genes for their potential to modulate joint damage phenotypes in animal models of osteoarthritis (O...

Ultrashort echo time MRI radiomics as a predictor of clinical outcomes in patellar tendinopathy: Insights from a large prospective clinical trial.

PURPOSE: To evaluate the predictive utility of radiomic features extracted from ultrashort echo time (UTE) MRI in comparison to conventional proton de...

Deciphering the 3D genome organization across species from Hi-C data.

3D genome organization is essential for gene regulation, yet in various species it is driven by different biological mechanisms. Species-specific fact...

A hybrid MMBERT framework for classifying periodontal bone loss: Integrating visual and textual information.

INTRODUCTION: Periodontitis, a chronic inflammatory disease, causes bone loss and tooth instability. Early diagnosis, aided by clinical and radiograph...