AIMC Topic: Radiology

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CAD and AI for breast cancer-recent development and challenges.

The British journal of radiology Dec 16, 2019
Computer-aided diagnosis (CAD) has been a popular area of research and development in the past few decades. In CAD, machine learning methods and multidisciplinary knowledge and techniques are used to analyze the patient information and the results ca...
Deep Learning Decision Support Systems, Clinical Bibliometrics Female Breast Neoplasms Diagnosis, Computer-Assisted Ultrasonography, Mammary Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Quality Assurance, Health Care Artificial Intelligence Magnetic Resonance Imaging Mammography Radiology
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Deep learning: definition and perspectives for thoracic imaging.

European radiology Dec 6, 2019
Relevance and penetration of machine learning in clinical practice is a recent phenomenon with multiple applications being currently under development. Deep learning-and especially convolutional neural networks (CNNs)-is a subset of machine learning,...
Deep Learning Radiology Radiography, Thoracic Neural Networks, Computer Humans Machine Learning Algorithms
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Artificial intelligence vs human intelligence: will radiologists be needed in the future?

Radiologia Dec 5, 2019
Humans Artificial Intelligence Forecasting Radiology Radiologists Intelligence Tomography, X-Ray Computed Diagnosis, Computer-Assisted Cerebral Hemorrhage Artifacts Neuroradiography
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Integrating Artificial Intelligence Into Radiologic Practice: A Look to the Future.

Journal of the American College of Radiology : JACR Nov 30, 2019
Radiography Artificial Intelligence Radiology Forecasting Workforce
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Ethical considerations in artificial intelligence.

European journal of radiology Nov 23, 2019
With artificial intelligence (AI) precipitously perched at the apex of the hype curve, the promise of transforming the disparate fields of healthcare, finance, journalism, and security and law enforcement, among others, is enormous. For healthcare - ...
Humans Artificial Intelligence Forecasting Radiology Radiologists Workflow
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Multiparametric deep learning tissue signatures for a radiological biomarker of breast cancer: Preliminary results.

Medical physics Nov 22, 2019
PURPOSE: Deep learning is emerging in radiology due to the increased computational capabilities available to reading rooms. These computational developments have the ability to mimic the radiologist and may allow for more accurate tissue characteriza...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Radiology Aged, 80 and over Young Adult Adult Breast Neoplasms Middle Aged Deep Learning Humans Female Aged
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Making the 'invisible' visible: transforming the detection of intimate partner violence.

BMJ quality & safety Nov 20, 2019
Probability Risk Wounds and Injuries Intimate Partner Violence Female Adult Diagnosis, Computer-Assisted Humans Male Middle Aged Adolescent Artificial Intelligence Radiology Prevalence Electronic Health Records
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Artificial Intelligence, Radiology, and Tuberculosis: A Review.

Academic radiology Nov 20, 2019
Tuberculosis is a leading cause of death from infectious disease worldwide, and is an epidemic in many developing nations. Countries where the disease is common also tend to have poor access to medical care, including diagnostic tests. Recent advance...
Radiography Radiology Tuberculosis Humans Artificial Intelligence Diagnosis, Computer-Assisted
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Our patients have spoken: keep radiologists in the centre of AI imaging ecosystems.

European radiology Nov 14, 2019
Humans Radiologists Ecosystem Artificial Intelligence Surveys and Questionnaires Radiology
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Finding relevant free-text radiology reports at scale with IBM Watson Content Analytics: a feasibility study in the UK NHS.

Journal of biomedical semantics Nov 12, 2019
BACKGROUND: Significant amounts of health data are stored as free-text within clinical reports, letters, discharge summaries and notes. Busy clinicians have limited time to read such large amounts of free-text and are at risk of information overload ...
National Health Programs Hydronephrosis Natural Language Processing Radiology Feasibility Studies Humans Data Mining Brain Neoplasms Research Report United Kingdom
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