AIMC Topic: Radiology

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Understanding artificial intelligence based radiology studies: CNN architecture.

Clinical imaging Jul 7, 2021
Artificial intelligence (AI) in radiology has gained wide interest due to the development of neural network architectures with high performance in computer vision related tasks. As AI based software programs become more integrated into the clinical w...
Workflow Radiology Radiologists Artificial Intelligence Humans Radiography
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Artificial intelligence reporting guidelines: what the pediatric radiologist needs to know.

Pediatric radiology Jul 1, 2021
There has been an exponential rise in artificial intelligence (AI) research in imaging in recent years. While the dissemination of study data that has the potential to improve clinical practice is welcomed, the level of detail included in early AI re...
Humans Radiologists Artificial Intelligence Workflow Workforce Child Radiology
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Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean.

Medical image analysis Jul 1, 2021
Deep learning models achieve strong performance for radiology image classification, but their practical application is bottlenecked by the need for large labeled training datasets. Semi-supervised learning (SSL) approaches leverage small labeled data...
Radiology Supervised Machine Learning Humans Radiography
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Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?

Skeletal radiology Jun 30, 2021
Artificial intelligence (AI) represents a broad category of algorithms for which deep learning is currently the most impactful. When electing to begin the process of building an adequate fundamental knowledge base allowing them to decipher machine le...
Humans Radiology Radiologists Machine Learning Artificial Intelligence Algorithms
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Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Journal of digital imaging Jun 15, 2021
Automated quantitative and probabilistic medical image analysis has the potential to improve the accuracy and efficiency of the radiology workflow. We sought to determine whether AI systems for brain MRI diagnosis could be used as a clinical decision...
Humans Brain Deep Learning Bayes Theorem Magnetic Resonance Imaging Radiology
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How does artificial intelligence in radiology improve efficiency and health outcomes?

Pediatric radiology Jun 12, 2021
Since the introduction of artificial intelligence (AI) in radiology, the promise has been that it will improve health care and reduce costs. Has AI been able to fulfill that promise? We describe six clinical objectives that can be supported by AI: a ...
Radiology Outcome Assessment, Health Care Contrast Media Radiography Humans Artificial Intelligence
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Comparison of Acceptance and Knowledge Transfer in Patient Information Before an MRI Exam Administered by Humanoid Robot Versus a Tablet Computer: A Randomized Controlled Study.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin Jun 10, 2021
PURPOSE:  To investigate whether a humanoid robot in a clinical radiological setting is accepted as a source of information in conversations before MRI examinations of patients. In addition, the usability and the information transfer were compared wi...
Surveys and Questionnaires Magnetic Resonance Imaging Radiology Computers, Handheld Robotics Humans
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Radiology "forensics": determination of age and sex from chest radiographs using deep learning.

Emergency radiology Jun 5, 2021
PURPOSE: To develop and test the performance of deep convolutional neural networks (DCNNs) for automated classification of age and sex on chest radiographs (CXR).
Adult Male Middle Aged Aged, 80 and over Young Adult Adolescent Child, Preschool Child Infant Deep Learning Humans Female Aged Neural Networks, Computer Radiography, Thoracic Radiography Radiology
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Natural Language Processing to Identify Pulmonary Nodules and Extract Nodule Characteristics From Radiology Reports.

Chest Jun 4, 2021
BACKGROUND: There is an urgent need for population-based studies on managing patients with pulmonary nodules.
Dimensional Measurement Accuracy Quality Improvement Lung Neoplasms Documentation Multiple Pulmonary Nodules Tomography, X-Ray Computed Radiography, Thoracic Radiology Solitary Pulmonary Nodule Calcinosis Sensitivity and Specificity Humans Tumor Burden Natural Language Processing Lung Algorithms
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The current and future roles of artificial intelligence in pediatric radiology.

Pediatric radiology May 27, 2021
Artificial intelligence (AI) is a broad and complicated concept that has begun to affect many areas of medicine, perhaps none so much as radiology. While pediatric radiology has been less affected than other radiology subspecialties, there are some w...
Radiology Forecasting Humans Child Artificial Intelligence
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