Orthopedics

Deep learning to overcome Zernike phase-contrast nanoCT artifacts for automated micro-nano porosity segmentation in bone.

Bone material contains a hierarchical network of micro- and nano-cavities and channels, known as the...

GATR-3, a Peptide That Eradicates Preformed Biofilms of Multidrug-Resistant .

is a gram-negative bacterium that causes hospital-acquired and opportunistic infections, resulting ...

Human-Robot Joint Misalignment, Physical Interaction, and Gait Kinematic Assessment in Ankle-Foot Orthoses.

Lower limb exoskeletons and orthoses have been increasingly used to assist the user during gait reha...

Artificial intelligence in oral health surveillance among under-served communities.

A sizable percentage of the population in India still does not have easy access to dental facilities...

Robot-assisted close reduction with double screw fixation for the coracoid-process base fracture: A case report.

A Deep Learning Model with a Self-Attention Mechanism for Leg Joint Angle Estimation across Varied Locomotion Modes.

Conventional trajectory planning for lower limb assistive devices usually relies on a finite-state s...

Automated bone age assessment in a German pediatric cohort: agreement between an artificial intelligence software and the manual Greulich and Pyle method.

OBJECTIVES: This study aimed to evaluate the performance of artificial intelligence (AI) software in...

Machine Learning-Based Predictive Models for 90-Day Readmission of Total Joint Arthroplasty Using Comprehensive Electronic Health Records and Patient-Reported Outcome Measures.

BACKGROUND: The Centers for Medicare & Medicaid Services currently incentivizes hospitals to reduce ...

Utility of Artificial Intelligence in Orthopedic Surgery Literature Review: A Comparative Pilot Study.

OBJECTIVE: Literature reviews are essential to the scientific process and allow clinician researcher...

Application of Artificial Intelligence at All Stages of Bone Tissue Engineering.

The development of artificial intelligence (AI) has revolutionized medical care in recent years and ...

Incidence and Risk Factors for Hyponatremia in Postoperative Spinal Surgery Patients.

INTRODUCTION: The incidence of hyponatremia after orthopedic surgery is high. Hyponatremia may prolo...

The Application of Computer Technology to Clinical Practice Guideline Implementation: A Scoping Review.

Implementation of clinical practice guidelines (CPG) is a complex and challenging task. Computer tec...

Sex estimation from the hyoid bone measurements in an adult Eastern Turkish population using 3D CT images, discriminant function analysis, support vector machines, and artificial neural networks☆.

The hyoid bone is one of the bones in the human body that shows sexual dimorphism. The anthropologic...

Synthetic Knee MRI T Maps as an Avenue for Clinical Translation of Quantitative Osteoarthritis Biomarkers.

A 2D U-Net was trained to generate synthetic T maps from T maps for knee MRI to explore the feasibil...

Sonographically-navigated frozen shoulder release (S-FSR): A modified technique for sonographically-navigated, in-office hydrodilatation of adhesive capsulitis.

We describe a new technique for hydrodilatation of the frozen shoulder, which we coined 'Sonographic...

Keyhole Fenestration for Cerebrospinal Fluid Leaks in the Thoracic Spine: Quantification of Bone Removal and Microsurgical Anatomy.

BACKGROUND AND OBJECTIVE: A safe working trajectory is mandatory for spinal pathologies, especially ...

Automated bone age assessment from knee joint by integrating deep learning and MRI-based radiomics.

Bone age assessment (BAA) is a crucial task in clinical, forensic, and athletic fields. Since tradit...

Artificial intelligence-enabled ophthalmoscopy for papilledema: a systematic review protocol.

Papilledema is a pathology delineated by the swelling of the optic disc secondary to raised intracra...

The gait1415+2 OpenSim musculoskeletal model of transfemoral amputees with a generic bone-anchored prosthesis.

This short communication presents the gait1415+2 musculoskeletal model, that has been developed in O...

Automatic detection, segmentation, and classification of primary bone tumors and bone infections using an ensemble multi-task deep learning framework on multi-parametric MRIs: a multi-center study.

OBJECTIVES: To develop an ensemble multi-task deep learning (DL) framework for automatic and simulta...

Digital Phenotyping, Wearables, and Outcomes.

There is a significant need for robust and objective outcome assessments in spine surgery. Constant ...