Orthopedics

Deep learning radiomics under multimodality explore association between muscle/fat and metastasis and survival in breast cancer patients.

Sarcopenia is correlated with poor clinical outcomes in breast cancer (BC) patients. However, there is no precise quantitative study on the correlation between body composition changes and BC metastasis and survival. The present study proposed a deep learning radiomics (DLR) approach to investigate the effects of muscle and fat on distant metastasis and death outcomes in BC patients. Image feature...

Neural networks for classification of cervical vertebrae maturation: a systematic review.

OBJECTIVE: To assess the accuracy of identification and/or classification of the stage of cervical vertebrae maturity on lateral cephalograms by neural networks as compared with the ground truth determined by human observers.

[Virtual reconstruction and clinical verification of maxillary defect based on deep learning].

To construct a virtual reconstruction method including midspan maxillary defects and provide clinical reference by training a generative adversarial ...

[Effectiveness of modified orthopedic robot-assisted percutaneous kyphoplasty in treatment of osteoporotic vertebral compression fracture].

OBJECTIVE: To evaluate the effectiveness of orthopedic robot with modified tracer fixation (short for modified orthopedic robot) assisted percutaneous...

Two-Phase Deep Learning Algorithm for Detection and Differentiation of Ewing Sarcoma and Acute Osteomyelitis in Paediatric Radiographs.

BACKGROUND/AIM: Ewing sarcoma is a highly malignant tumour predominantly found in children. The radiological signs of this malignancy can be mistaken ...

Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network.

OBJECTIVES: Chronic suppurative otitis media (CSOM) and middle ear cholesteatoma (MEC) are the 2 most common chronic middle ear diseases. In the proce...

Automatic quantification and grading of hip bone marrow oedema in ankylosing spondylitis based on deep learning.

OBJECTIVE: This study has developed a new automatic algorithm for the quantificationy and grading of ankylosing spondylitis (AS)-hip arthritis with ma...

[Development and clinical application of robot-assisted technology in traumatic orthopedics].

OBJECTIVE: To review and evaluate the basic principles and advantages of orthopedic robot-assisted technology, research progress, clinical application...

[Orthopedic robot based on 5G technology for remote navigation of percutaneous screw fixation in pelvic and acetabular fractures].

OBJECTIVE: To investigate the accuracy and safety of percutaneous screw fixation for pelvic and acetabular fractures with remote navigation of orthope...

[Short-term effectiveness of orthopedic robot-assisted femoral neck system fixation for fresh femoral neck fractures].

OBJECTIVE: To investigate the short-term effectiveness and advantages of the orthopedic robot-assisted femoral neck system (FNS) fixation in the treat...

Measuring Knee Joint Laxity in Three Degrees-of-Freedom In Vivo Using a Robotics- and Image-Based Technology.

Accurate and reliable information about three-dimensional (3D) knee joint laxity can prevent misdiagnosis and avoid incorrect treatments. Nevertheless...

Artificial intelligence for image analysis in total hip and total knee arthroplasty : a scoping review.

AIMS: Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are common orthopaedic procedures requiring postoperative radiographs to confirm ...

Programmed for Automatic Bone Disorder Clustering Based on Cumulative Calcium Prediction for Feature Extraction.

BACKGROUND: The prediction of bone disorders varies between ortho-physicians. A precise bone disorder cataloging system is proposed based on a renewed...

Deep Learning for Synthetic CT from Bone MRI in the Head and Neck.

BACKGROUND AND PURPOSE: Bone MR imaging techniques enable visualization of cortical bone without the need for ionizing radiation. Automated conversion...

The Future of Minimally Invasive Spinal Surgery.

Strong forces are pushing minimally invasive spinal surgery (MISS) to the forefront of spine care. Less-invasive surgical techniques have been enabled...

Re-Assessment of Applicability of Greulich and Pyle-Based Bone Age to Korean Children Using Manual and Deep Learning-Based Automated Method.

PURPOSE: To evaluate the applicability of Greulich-Pyle (GP) standards to bone age (BA) assessment in healthy Korean children using manual and deep le...

[Feasibility and Clinical Benefit of Robot-assisted Minimally Invasive Direct Coronary Artery Bypass Surgery].

In minimally invasive direct coronary artery bypass surgery (MIDCAB), internal mammary artery harvesting is not so easy because of small exposure and ...

Treatment of the hook of hamate fracture with robot navigation: A note on technique.

OBJECTIVE: The aim of this study was to demonstrate a new robotic technique for the fixation of the fracture of the hook of hamate.

An ISB-consistent Denavit-Hartenberg model of the human upper limb for joint kinematics optimization: validation on synthetic and robot data during a typical rehabilitation gesture.

Several biomedical contexts such as diagnosis, rehabilitation, and ergonomics require an accurate estimate of human upper limbs kinematics. Wearable i...

Estimating infant upper extremities motion with an RGB-D camera and markerless deep neural network tracking: A validation study.

Quantitative biomarkers of infant motion may be predictive of the development of movement disorders. This study presents and validates a low cost, mar...