AIMC Topic: Europe

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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Canada United States Europe Radiology Radiologists Societies, Medical Humans Artificial Intelligence Consensus
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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Journal of the American College of Radiology : JACR Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
North America Societies, Medical Codes of Ethics Europe Radiology Practice Guidelines as Topic Humans Artificial Intelligence
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Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement.

Radiology Oct 1, 2019
This is a condensed summary of an international multisociety statement on ethics of artificial intelligence (AI) in radiology produced by the ACR, European Society of Radiology, RSNA, Society for Imaging Informatics in Medicine, European Society of M...
Humans Europe Radiology Radiologists Artificial Intelligence Societies, Medical Consensus Canada United States
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Artificial Intelligence for Aortic Pressure Waveform Analysis During Coronary Angiography: Machine Learning for Patient Safety.

JACC. Cardiovascular interventions Sep 25, 2019
OBJECTIVES: This study developed a neural network to perform automated pressure waveform analysis and allow real-time accurate identification of damping.
Female Reproducibility of Results Risk Factors Aged Machine Learning Patient Safety Databases, Factual Coronary Angiography Coronary Artery Disease Heart Rate Artifacts Male Middle Aged Europe Predictive Value of Tests Humans Neural Networks, Computer Cardiac Catheterization Observer Variation Arterial Pressure Aorta
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Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry.

JACC. Cardiovascular imaging Aug 14, 2019
OBJECTIVES: This study was conducted to investigate the influence of coronary artery calcium (CAC) score on the diagnostic performance of machine-learning-based coronary computed tomography (CT) angiography (cCTA)-derived fractional flow reserve (CT-...
Coronary Artery Disease Vascular Calcification Asia Computed Tomography Angiography Fractional Flow Reserve, Myocardial North America Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Severity of Illness Index Diagnosis, Computer-Assisted Europe Humans Machine Learning Female Reproducibility of Results Aged Male Middle Aged
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Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.

RMD open Jul 18, 2019
OBJECTIVE: To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).
Advisory Committees Rheumatic Diseases Humans Publications Sensitivity and Specificity Neural Networks, Computer Musculoskeletal Diseases Big Data Artificial Intelligence Information Storage and Retrieval Europe Machine Learning Radiology
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Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study.

Eye (London, England) Jul 2, 2019
OBJECTIVES: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to compare this performance to the performance of a large cohort of ophthal...
Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Clinical Competence Optometrists ROC Curve Europe Humans Predictive Value of Tests False Positive Reactions Artificial Intelligence Observer Variation Photography Retrospective Studies Optic Disk Ophthalmologists Optic Nerve Diseases Glaucoma, Open-Angle
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A comparison of linear regression, regularization, and machine learning algorithms to develop Europe-wide spatial models of fine particles and nitrogen dioxide.

Environment international Jun 20, 2019
Empirical spatial air pollution models have been applied extensively to assess exposure in epidemiological studies with increasingly sophisticated and complex statistical algorithms beyond ordinary linear regression. However, different algorithms hav...
Nitrogen Dioxide Machine Learning Environmental Monitoring Air Pollution Europe Particulate Matter Air Pollutants Linear Models
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Inertia location and slow network modes determine disturbance propagation in large-scale power grids.

PloS one Mar 21, 2019
Conventional generators in power grids are steadily substituted with new renewable sources of electric power. The latter are connected to the grid via inverters and as such have little, if any rotational inertia. The resulting reduction of total iner...
Neural Networks, Computer Computer Simulation Models, Theoretical Europe Electricity Electric Power Supplies
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Quantitative analysis of manual annotation of clinical text samples.

International journal of medical informatics Dec 31, 2018
BACKGROUND: Semantic interoperability of eHealth services within and across countries has been the main topic in several research projects. It is a key consideration for the European Commission to overcome the complexity of making different health in...
Medical Informatics Humans Europe Semantics Natural Language Processing Systematized Nomenclature of Medicine Unified Medical Language System
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