Orthopedics

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 1. Development of the COMI, interpretation of scores, and use in research.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, physiotherapy, occupational therapy, rheumatology, primary care medicine, internal medicine, health economics and epidemiology) proposed a short multidimensional series of core outcome items for use in patients with low back disorders. In 2005 and 2006, two independent research groups published stud...

Synthesizing [F]PSMA-1007 PET bone images from CT images with GAN for early detection of prostate cancer bone metastases: a pilot validation study.

BACKGROUND: [F]FDG PET/CT scan combined with [F]PSMA-1007 PET/CT scan is commonly conducted for detecting bone metastases in prostate cancer (PCa). However, it is expensive and may expose patients to more radiation hazards. This study explores deep learning (DL) techniques to synthesize [F]PSMA-1007 PET bone images from CT bone images for the early detection of bone metastases in PCa, which may re...

Developing and validating a machine learning model to predict chronic pain following total knee arthroplasty.

OBJECTIVE: This study aims to compare the performance of various machine learning algorithms in predicting chronic pain after total knee arthroplasty ...

Predicting Postoperative Blood Transfusion in Elderly Patients Undergoing Total Hip and Knee Arthroplasty Using Machine Learning Models.

PURPOSE: With the aging population, the demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA) has risen significantly. Elderly pat...

Resting-State Functional MRI Reveals Altered Seed-Based Connectivity in Diabetic Osteoporosis Patients.

BACKGROUND: Diabetic osteoporosis (DOP) can cause abnormal brain neural activity, but its mechanism is still unclear. This study aims to further explo...

Global research trends in bone tumors: a bibliometric analysis of medical imaging.

BACKGROUND: Bone tumors, due to their high rate of misdiagnosis, pose significant clinical challenges in diagnosis and treatment. Medical imaging play...

Normative isokinetic knee strength values and prediction models in non-athletic Chinese adults.

BACKGROUND: Establishing normative isokinetic muscle strength values and prediction models for knee joints in non-athletic healthy Chinese adults aids...

Exploration of Crucial miRNA Signatures and Molecular Mechanisms in the System of Muscle-Exosome-Bone: Evidence from Transcriptome Data.

Muscles and bones are adjacent in spatial position and closely related in function. Exosomes can achieve communication between donor and receptor cell...

Transforming healthcare: the impact of artificial intelligence on diagnostics, pharmaceuticals and ethical considerations - a comprehensive review.

Interpretability of results remains challenging in most health industries since patients may suffer life-threatening consequences from an inaccurate d...

Artificial Intelligence vs Human Authorship in Spine Surgery Fellowship Personal Statements: Can ChatGPT Outperform Applicants?

Study DesignA comparative analysis of AI-generated vs human-authored personal statements for spine surgery fellowship applications.ObjectiveTo assess ...

An Artificial Intelligence Method for Phenotyping of OCT-Derived Thickness Maps Using Unsupervised and Self-supervised Deep Learning.

The objective of this study is to enhance the understanding of ophthalmic disease physiology and genetic architecture through the analysis of optical ...

Artificial Intelligence and Musculoskeletal Surgical Applications.

Artificial intelligence (AI) has emerged as a transformative force in orthopedic surgery. Potentially encompassing pre-, intra-, and postoperative pro...

Uncemented hip arthroplasty and denosumab: increased postoperative dipeptide concentrations and identification of potential new bone turnover biomarkers.

Denosumab is a potent antagonist of RANKL and is widely used to treat severe postmenopausal osteoporosis. Using high-resolution mass spectrometry (HRM...

Age and sex-specific differences of the intrafemoral and intratibial morphology using the Citak classification in patients undergoing total knee arthroplasty.

PURPOSE: Unlike established knee phenotype classifications, the recently introduced Citak classifications describe the intrafemoral and intratibial kn...

Development and validation of ultrasound-based radiomics deep learning model to identify bone erosion in rheumatoid arthritis.

OBJECTIVE: To develop and validate a deep learning radiomics fusion model (DLR) based on ultrasound (US) images to identify bone erosion in rheumatoid...

Improving Deep Learning-Based Grading of Partial-thickness Supraspinatus Tendon Tears with Guided Diffusion Augmentation.

RATIONALE AND OBJECTIVES: To develop and validate a deep learning system with guided diffusion-based data augmentation for grading partial-thickness s...

The "Outpatient Arthroplasty Risk Assessment" Score for Same Day Outpatient Primary Total Joint Arthroplasty: A Multicenter Study.

BACKGROUND: The Outpatient Arthroplasty Risk Assessment (OARA) Score was developed to risk-stratify patients for safe same-day discharge outpatient to...

Influence of Robotic versus Manual Technology for Achieving Sagittal Targets in Total Knee Arthroplasty Using a Cruciate Retaining and Medial Stabilized Implant.

BACKGROUND: Most of the focus regarding total knee arthroplasty (TKA) implant positioning and alignment has been centered on the coronal plane. Poster...

Novel Spatio-Temporal Joint Learning-Based Intelligent Hollowing Detection in Dams for Low-Data Infrared Images.

Concrete dams are prone to various hidden dangers after long-term operation and may lead to significant risk if failed to be detected in time. However...

Assessing information provided via artificial intelligence regarding distal biceps tendon repair surgery.

PURPOSE: The purpose of this study was to analyze the quality, accuracy, reliability and readability of information provided by an Artificial Intellig...