Orthopedics

A machine learning prediction model for total shoulder arthroplasty procedure duration: an evaluation of surgeon, patient, and shoulder-specific factors.

BACKGROUND: Operating room efficiency is of paramount importance for scheduling, cost efficiency, an...

Deep learning model for automated detection of fresh and old vertebral fractures on thoracolumbar CT.

PURPOSE: To develop a deep learning system for automatic segmentation of compression fracture verteb...

Improving the prediction of chemotherapy dose-limiting toxicity in colon cancer patients using an AI-CT-based 3D body composition of the entire L1-L5 lumbar spine.

PURPOSE: Chemotherapy dose-limiting toxicities (DLT) pose a significant challenge in successful colo...

MFC-ACL: Multi-view fusion clustering with attentive contrastive learning.

Multi-view clustering can better handle high-dimensional data by combining information from multiple...

3D MFA: An automated 3D Multi-Feature Attention based approach for spine segmentation using a multi-stage network pruning.

Spine segmentation poses significant challenges due to the complex anatomical structure of the spine...

Effect of Ultrasound-Guided Extra-Prevertebral Fascial Suprascapular Nerve and Infraclavicular Brachial Plexus Block on Postoperative Analgesia and Phrenic Nerve Function in Shoulder Arthroscopy: A Pilot Study.

PURPOSE: The suprascapular nerve is situated between the prevertebral fascia and the superficial lay...

Identification and validation of susceptibility modules and hub genes in polyarticular juvenile idiopathic arthritis using WGCNA and machine learning.

BACKGROUND: Juvenile idiopathic arthritis (JIA), superseding juvenile rheumatoid arthritis (JRA), is...

Spine X-ray image segmentation based on deep learning and marker controlled watershed.

BACKGROUND: The development of automatic methods for vertebral segmentation provides the objective a...

Artificial intelligence in risk prediction and diagnosis of vertebral fractures.

With the increasing prevalence of vertebral fractures, accurate diagnosis and prognostication are es...

Enhancing knee osteoarthritis diagnosis with DMS: a novel dense multi-scale convolutional neural network approach.

BACKGROUND: Osteoarthritis (OA) of the knee is a prevalent chronic degenerative joint condition that...

An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery.

AIM: The study aimed to develop a predictive model with machine learning (ML) algorithm, to predict ...

XGBoost-SHAP-based interpretable diagnostic framework for knee osteoarthritis: a population-based retrospective cohort study.

OBJECTIVE: To use routine demographic and clinical data to develop an interpretable individual-level...

Accuracy analysis of the new artificial anatomical marker positioning method (shoulder-to-shoulder) in preventing leg length discrepancy in total hip arthroplasty.

OBJECTIVE: By comparing the hip arthroplasty parameters planned with the AIHIP three-dimensional sim...

Developing the new diagnostic model by integrating bioinformatics and machine learning for osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a common cause of disability among the elderly, profoundly affect...

Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors.

Efficacy of preoperative prophylactic application of betamethasone on postoperative nausea and vomiting in patients undergoing total knee arthroplasty: a prospective randomized controlled trial.

BACKGROUND: The demand for total knee arthroplasty (TKA) is increasing, yet postoperative nausea and...

Effect of the Ultrasound-Guided Interscalene and Supraclavicular Blocks on the C4 Dermatome.

PURPOSE: The C4 dermatome anesthesia holds significance for arthroscopic shoulder surgery. However, ...

Automated Bone Cancer Detection Using Deep Learning on X-Ray Images.

In recent days, bone cancer is a life-threatening health issue that can lead to death. However, phys...

TransformerLSR: Attentive joint model of longitudinal data, survival, and recurrent events with concurrent latent structure.

In applications such as biomedical studies, epidemiology, and social sciences, recurrent events ofte...

Novel dilation-erosion labeling technique allows for rapid, accurate and adjustable alignment measurements in primary TKA.

BACKGROUND: Optimal implant position and alignment remains a controversial, yet critical topic in pr...

Diagnostic performance of neural network algorithms in skull fracture detection on CT scans: a systematic review and meta-analysis.

BACKGROUND AND AIM: The potential intricacy of skull fractures as well as the complexity of underlyi...