AIMC Topic: Radiography

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Medical Student Perspectives on the Impact of Artificial Intelligence on the Practice of Medicine.

Current problems in diagnostic radiology Jun 27, 2020
INTRODUCTION: Concerns about radiologists being replaced by artificial intelligence (AI) from the lay media could have a negative impact on medical students' perceptions of radiology as a viable specialty. The purpose of this study was to evaluate Un...
Radiologists Humans Artificial Intelligence Students, Medical United States Radiography Radiology
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Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative.

Radiology Jun 23, 2020
Background The methods for assessing knee osteoarthritis (OA) do not provide enough comprehensive information to make robust and accurate outcome predictions. Purpose To develop a deep learning (DL) prediction model for risk of OA progression by usin...
Deep Learning Radiography Knee Joint Aged Male Middle Aged Arthroplasty, Replacement, Knee Image Interpretation, Computer-Assisted Osteoarthritis, Knee Humans Retrospective Studies Female Risk Factors
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A Novel Method to Identify Pneumonia through Analyzing Chest Radiographs Employing a Multichannel Convolutional Neural Network.

Sensors (Basel, Switzerland) Jun 19, 2020
Pneumonia is a virulent disease that causes the death of millions of people around the world. Every year it kills more children than malaria, AIDS, and measles combined and it accounts for approximately one in five child-deaths worldwide. The inventi...
Radiography Radiography, Thoracic Deep Learning Child Pneumonia Humans Neural Networks, Computer
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Humans Machine Learning Retrospective Studies Validation Studies as Topic Image-Guided Biopsy Unnecessary Procedures Prostatic Neoplasms Prostate-Specific Antigen Prostate Multiparametric Magnetic Resonance Imaging Male Decision Trees Reproducibility of Results Middle Aged ROC Curve Area Under Curve Aged Ultrasonography Logistic Models Aged, 80 and over Radiography Support Vector Machine
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Towards Robust and Accurate Detection of Abnormalities in Musculoskeletal Radiographs with a Multi-Network Model.

Sensors (Basel, Switzerland) Jun 2, 2020
This study proposes a novel multi-network architecture consisting of a multi-scale convolution neural network (MSCNN) with fully connected graph convolution network (GCN), named MSCNN-GCN, for the detection of musculoskeletal abnormalities via muscul...
Image Processing, Computer-Assisted Humans Radiography Neural Networks, Computer Musculoskeletal Abnormalities
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Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors.

European radiology May 26, 2020
OBJECTIVE: The objective was to identify barriers and facilitators to the implementation of artificial intelligence (AI) applications in clinical radiology in The Netherlands.
Radiologists Qualitative Research Program Evaluation Humans Data Collection Radiography Program Development Artificial Intelligence Netherlands Radiology
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Deep learning for dermatologists: Part II. Current applications.

Journal of the American Academy of Dermatology May 16, 2020
Because of a convergence of the availability of large data sets, graphics-specific computer hardware, and important theoretical advancements, artificial intelligence has recently contributed to dramatic progress in medicine. One type of artificial in...
Humans Artificial Intelligence Deep Learning Radiography Radiology Dermatologists
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Artificial Intelligence and Machine Learning in Radiology Education Is Ready for Prime Time.

Journal of the American College of Radiology : JACR May 16, 2020
Machine Learning Artificial Intelligence Radiography Radiology
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Automated detection and classification of shoulder arthroplasty models using deep learning.

Skeletal radiology May 15, 2020
OBJECTIVE: To develop and evaluate the performance of deep convolutional neural networks (DCNN) to detect and identify specific total shoulder arthroplasty (TSA) models.
Radiography Arthroplasty, Replacement, Shoulder Neural Networks, Computer Deep Learning ROC Curve Humans
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Osteoarthritis of the Temporomandibular Joint can be diagnosed earlier using biomarkers and machine learning.

Scientific reports May 15, 2020
After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most common musculoskeletal condition affecting 5 to 12% of the population, with an annual health cost estimated at $4 billion. Chronic disability in TMJ osteoarthrit...
Early Diagnosis Symptom Assessment Humans Radiography Male Temporomandibular Joint Disorders Machine Learning Biomarkers Osteoarthritis ROC Curve Data Analysis Female Area Under Curve Databases, Factual Reproducibility of Results
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