Trustworthy Deep Learning for the Automated Quantification of the Fatty Infiltration of the Rotator Cuff Muscles Using MRI
The current method of classifying fatty infiltration is highly subjective and has low reliability, which may impact the decision-making for the management of rotator cuff…
Trustworthy Deep Learning for the Automated Quantification of the Fatty Infiltration of the Rotator Cuff Muscles Using MRI (Copy)
Proximal humeral bone deficiency in revision shoulder arthroplasty is an emerging and challenging problem as the use of reverse shoulder arthroplasty (RSA) increases….
Comprehensive review of deep learning in orthopaedics: Applications, challenges, trustworthiness, and fusion
Deep learning (DL) in orthopaedics has gained significant attention in recent years. Previous studies have shown that DL can be applied to a wide variety of orthopaedic tasks, including fracture detection, bone tumour diagnosis….
Does forearm referencing using a retroversion guide achieve the targeted retroversion of the humeral component in reverse shoulder arthroplasty?
The degree of atrophy and fatty infiltration of rotator cuff muscle belly is a key predictor for cuff repairability. Traditionally, Goutallier grading of fatty infiltration is assessed at sagittal scapular Y-view…..
Medial Scapular Body (MSB) Goutallier Classification – MRI based reliability and validity of evaluation of the Goutallier classification for grading fatty infiltration of the rotator cuff
The degree of atrophy and fatty infiltration of rotator cuff muscle belly is a key predictor for cuff repairability. Traditionally, Goutallier grading of fatty infiltration is assessed at sagittal scapular Y-view….
The Hybrid Humerus Reverse Shoulder Arthroplasty: A prospective study of bone grafting and metaphyseal fixation with undersized stem in the assessment of proximal humeral stress shielding
A significant proportion of revisions after reverse shoulder arthroplasty (RSA) is attributed to the humeral component. The purpose of this study is to evaluate the radio…
Comprehensive systematic review of information fusion methods in smart cities and urban environments
Smart cities result from integrating advanced technologies and intelligent sensors into modern urban infrastructure….
Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification
Early diagnosis of lung cancer is critical as it can save people’s lives. Long-range dependencies within volumetric medical images are essential attributes for accurate lung nodule classification….
The Use of Glenoid Structural Allografts for Glenoid Bone Defects in Reverse Shoulder Arthroplasty
The use of reverse shoulder arthroplasty as a primary and revision implant is increasing. Advances in implant design and preoperative surgical planning allow the management of complex glenoid defects….
Trustworthy deep learning framework for the detection of abnormalities in X-ray shoulder images
Musculoskeletal conditions affect an estimated 1.7 billion people worldwide, causing intense pain and disability.
Comprehensive systematic review of information fusion methods in smart cities and urban environments
Smart cities result from integrating advanced technologies and intelligent sensors into modern urban infrastructure…
Single-stage vs. Two-stage Reconstruction of Glenoid Defects in Revision Shoulder Arthroplasty
Glenoid pathologies are a common indication for shoulder arthroplasty revisions. In most revision cases, it is associated with rotator cuff defects or insufficiencies….
Surgical Management of Periprosthetic Scapular Spine and Acromion Fractures
Periprosthetic fractures of the acromion and scapular spine have been reported increasingly as an early complication of reverse shoulder arthroplasty (RSA)….
Real-time diabetic foot ulcer classification based on deep learning & parallel hardware computational tools
Meeting the rising global demand for healthcare diagnostic tools is crucial, especially with a shortage of medical professionals….
Does forearm referencing using a retroversion guide achieve the targeted retroversion of the humeral component in reverse shoulder arthroplasty?
Component positioning affects clinical outcomes of reverse shoulder arthroplasty, which necessitates an implantation technique that is reproducible, consistent, and reliable. This study aims to assess the accuracy and precision of positioning the humeral component in planned retroversion using a forearm referencing guide…
Domain Adaptation and Feature Fusion for the Detection of Abnormalities in X-Ray Forearm Images
The main challenge in adopting deep learning models is limited data for training, which can lead to poor generalization and a high risk of overfitting, particularly when detecting forearm abnormalities in X-ray images….
Evaluation Of Mixed Reality Technology In Shoulder Arthroplasty: From Preoperative Planning To Surgical Execution
This study aims to compare the ability to reproduce pre-planned glenoid implant position using traditional freehand (FH) technique, Mixed Reality-guided technology (MR), and real-time navigation using optical tracking system (OT). Influence of MR technology on surgeons’ level of experience and the use of MR as a training tool for junior surgeons is also evaluated.
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic decision-making (DM),..
Improving Glenoid Guidewire Placement in Shoulder Arthroplasty: A Comparative Study of Mixed Reality Holographic Overlay Technique With Freehand Technique and Conventional Navigation
Mixed reality (MR) is an emerging technology that aids surgeons during shoulder arthroplasty…