Orthopedics

Impact of image processing techniques on deep learning-based classification accuracy of cervical vertebral maturation.

OBJECTIVES: This research aimed to investigate how different image processing techniques influence the performance of a deep learning model in classifying cervical vertebral maturation (CVM) stages. METHODS: A dataset of 799 cephalometric radiographs, originally obtained for orthodontic diagnosis, was analyzed. For each image, a rectangular section including the second to fourth cervical vertebrae...

Immunomodulatory Agents and Factors in Poor Hematopoietic Stem Cell Mobilization: Current Strategies and Future Prospects.

UNLABELLED: Hematopoietic stem cell (HSC) mobilization is a critical step in bone marrow transplantation for treating hematological malignancies and other disorders. Since poor mobilization affects 10–20% of patients, it can cause failure of the transplant and complications in clinical outcomes. There are several important factors that modify poor mobilization, of which immunomodulatory agents and...

Automated measurement of cervical sagittal and local parameters using a generalizable deep learning model: a multinational development and validation study.

BACKGROUND CONTEXT: Manual measurement of cervical sagittal parameters is time-consuming and exhibits significant interobserver variability. Existing ...

A droplet digital LAMP-based lab-on-a-disc system for multiplex allele-specific detection of tumor-derived DNA mutations.

The absence of accurate, rapid, fully automated, and cost-effective detection methods has hindered the clinical translation of tumor-derived DNA mutat...

A CT-based multimodal fusion model for predicting outcomes in blunt chest trauma: A multicenter study.

BACKGROUND: This study aimed to develop a multimodal predictive model that integrates clinical variables, radiomic features (RFs), and deep learning-b...

Clinical applications of artificial intelligence in hand surgery: A systematic review and meta-analysis.

BACKGROUND: Artificial intelligence (AI) is increasingly applied in medicine, yet its clinical integration in hand surgery remains variable and incomp...

An Artificial Intelligence-Based Prognostic Model for Prediction of Functional Glaucoma Progression From Clinical and Structural Data.

PURPOSE: Integration of various sources of information for prediction of disease progression is an unmet need in glaucoma diagnostics. We designed a d...

Ccta-based AI for Diagnosing ≥ 50 % coronary Stenosis: A patient- and Vessel-Level meta-analysis.

BACKGROUND: To investigate the diagnostic performance of CCTA-based artificial intelligence (AI) in detecting ≥ 50 % coronary stenosis of coronary art...

Predicting Postoperative Discharge Status and Readmissions in Spinal Metastatic Disease Using Machine Learning Models.

Operative management of spinal metastatic disease is largely for symptom palliation rather than curative and revolves around the expectation that post...

Automated detection and classification of dental trauma in periapical radiographs using deep learning: a study based on the Andreasen classification.

OBJECTIVE: The aim of this study was to evaluate the performance of a deep learning (DL) model in automatically identifying dental trauma types on sel...

ANGPTL4 regulates the adipogenic-osteogenic differentiation balance of bone marrow mesenchymal stem cells: A novel mechanism of osteoporosis from the perspective of lipid metabolism.

To investigate the role of lipid metabolism abnormalities in the progression of osteoporosis (OP), clarify the impact of the key regulator angiopoieti...

DVAP-Reg: Dual-view anatomical prior-driven cross-dimensional registration for spinal surgery navigation.

2D-3D cross-dimensional registration serves as a critical technology in spinal surgery navigation, with profound implications for enhancing surgical p...

Artificial Intelligence-Enhanced Quantitative 3D Analysis of Distal Radioulnar Ligament Insertion Footprints of the Triangular Fibrocartilage Complex With Interactive Validation.

OBJECTIVES: The distal radioulnar ligaments (DRULs) serve as primary stabilizers to the distal radioulnar joint (DRUJ). Existing cadaveric studies rep...

A Fully Automated Multistage Deep Learning System for Lenke Classification: Enhanced Diagnostic Precision in Adolescent Idiopathic Scoliosis.

BACKGROUND: The Lenke classification for adolescent idiopathic scoliosis (AIS) has interobserver variability due to subjective clinical assessment. We...

Efficacy and safety of recombinant human bone morphogenetic protein-2 biomaterials in promoting bone regeneration: A systematic review and meta-analysis.

OBJECTIVES: This study aims to systematically evaluate the efficacy and safety of recombinant human bone morphogenetic protein-2 (rhBMP-2) in promotin...

Software-based de-filtering restores quantitative accuracy in Clarity2D-enhanced whole-body bone scintigraphy.

OBJECTIVE: To determine whether software-based de-filtering can restore the quantitative accuracy of the bone scan index (BSI) and the number of hot s...

Letter to the editor regarding "ChatGPT delivers satisfactory responses to the most frequent questions on meniscus surgery".

BACKGROUND: This letter addresses methodological aspects of a study that evaluated a large language model's responses to frequently asked patient ques...

High-Resolution MR Imaging of Elbow Ligament Injuries and Associated Impingement and Instability Syndromes.

MR imaging plays a critical role in evaluating elbow ligament pathologies and associated instability and impingement syndromes. The article details st...

Geroscience insights into difficult-to-treat rheumatoid arthritis: the role of unhealthy aging, comorbidity, and therapeutic complexity.

Difficult-to-treat rheumatoid arthritis (D2T RA) is an emerging challenge in aging populations, where disease persistence and therapeutic failure ofte...

M44TMD: A multimodal, multi-task deep learning framework for comprehensive assessment of TMD-related abnormalities.

OBJECTIVE: Existing deep learning (DL) approaches for assessing temporomandibular disorders (TMD) are limited by underutilization of magnetic resonanc...