AIMC Topic: Radiography

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The Use of Artificial Intelligence in the Evaluation of Knee Pathology.

Seminars in musculoskeletal radiology Jan 28, 2020
Artificial intelligence (AI) holds the potential to revolutionize the field of radiology by increasing the efficiency and accuracy of both interpretive and noninterpretive tasks. We have only just begun to explore AI applications in the diagnostic ev...
Knee Joint Image Interpretation, Computer-Assisted Osteoarthritis, Knee Cartilage Diseases Knee Injuries Artificial Intelligence Humans Magnetic Resonance Imaging Radiography
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Artificial intelligence in bone age assessment: accuracy and efficiency of a novel fully automated algorithm compared to the Greulich-Pyle method.

European radiology experimental Jan 28, 2020
BACKGROUND: Bone age (BA) assessment performed by artificial intelligence (AI) is of growing interest due to improved accuracy, precision and time efficiency in daily routine. The aim of this study was to investigate the accuracy and efficiency of a ...
Adolescent Child, Preschool Child Radiography Wrist Hand Humans Germany Artificial Intelligence Age Determination by Skeleton Retrospective Studies
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Preliminary experience with an image-free handheld robot for total knee arthroplasty: 77 cases compared with a matched control group.

European journal of orthopaedic surgery & traumatology : orthopedie traumatologie Jan 16, 2020
BACKGROUND: Achieving an optimal limb alignment is an important factor affecting the long-term survival of total knee arthroplasty (TKA). This is the first study to look at the limb alignment and orientation of components in TKA using a novel image-f...
Case-Control Studies Robotics Radiography Male Middle Aged Postoperative Complications Image Interpretation, Computer-Assisted Outcome and Process Assessment, Health Care Bone Malalignment Surgery, Computer-Assisted Knee Joint Arthroplasty, Replacement, Knee Humans Female
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Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN.

International journal of computer assisted radiology and surgery Jan 14, 2020
PURPOSE: Knee osteoarthritis (OA) is a common disease that impairs knee function and causes pain. Radiologists usually review knee X-ray images and grade the severity of the impairments according to the Kellgren-Lawrence grading scheme. However, this...
Osteoarthritis, Knee Humans Neural Networks, Computer Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Radiography
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Top 10 Reviewer Critiques of Radiology Artificial Intelligence (AI) Articles: Qualitative Thematic Analysis of Reviewer Critiques of Machine Learning/Deep Learning Manuscripts Submitted to JMRI.

Journal of magnetic resonance imaging : JMRI Jan 13, 2020
BACKGROUND: Classical machine learning (ML) and deep learning (DL) articles have rapidly captured the attention of the radiology research community and comprise an increasing proportion of articles submitted to JMRI, of variable reporting and methodo...
Deep Learning Artificial Intelligence Radiography Machine Learning Radiology
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Deep learning in fracture detection: a narrative review.

Acta orthopaedica Jan 13, 2020
Artificial intelligence (AI) is a general term that implies the use of a computer to model intelligent behavior with minimal human intervention. AI, particularly deep learning, has recently made substantial strides in perception tasks allowing machin...
Deep Learning Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Humans Radiography Tomography, X-Ray Computed
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Editorial for "Top 10 Reviewer Critiques of Radiology Artificial Intelligence (AI) Articles: Qualitative Thematic Analysis of Reviewer Critiques of Machine Learning / Deep Learning Manuscripts Submitted to JMRI".

Journal of magnetic resonance imaging : JMRI Jan 10, 2020
Deep Learning Radiography Radiology Artificial Intelligence Machine Learning
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Retraining an open-source pneumothorax detecting machine learning algorithm for improved performance to medical images.

Clinical imaging Jan 8, 2020
PURPOSE: To validate a machine learning model trained on an open source dataset and subsequently optimize it to chest X-rays with large pneumothoraces from our institution.
Deep Learning Area Under Curve Radiography Pneumothorax Retrospective Studies Sensitivity and Specificity Male Machine Learning Algorithms Humans
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Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Editorial Board.

Radiology Dec 31, 2019
Radiology Image Interpretation, Computer-Assisted Databases, Factual Humans Manuscripts, Medical as Topic Artificial Intelligence Biomedical Research Radiography
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Use of natural language processing to improve predictive models for imaging utilization in children presenting to the emergency department.

BMC medical informatics and decision making Dec 30, 2019
OBJECTIVE: To examine the association between the medical imaging utilization and information related to patients' socioeconomic, demographic and clinical factors during the patients' ED visits; and to develop predictive models using these associated...
Child, Preschool Child Logistic Models Health Care Surveys Male Humans Natural Language Processing Patient Acceptance of Health Care Infant United States Tomography, X-Ray Computed Radiography Adolescent Socioeconomic Factors Emergency Service, Hospital Female Triage
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