AIMC Topic: Europe

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Ethical concerns with the use of intelligent assistive technology: findings from a qualitative study with professional stakeholders.

BMC medical ethics Dec 19, 2019
BACKGROUND: Advances in artificial intelligence (AI), robotics and wearable computing are creating novel technological opportunities for mitigating the global burden of population ageing and improving the quality of care for older adults with dementi...
Interviews as Topic Dementia Europe Robotics Research Personnel Stakeholder Participation Self-Help Devices Health Personnel Humans Female Artificial Intelligence Male Qualitative Research
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Macrolide combination therapy for patients hospitalised with community-acquired pneumonia? An individualised approach supported by machine learning.

The European respiratory journal Dec 12, 2019
BACKGROUND: The role of macrolide/β-lactam combination therapy in community-acquired pneumonia (CAP) of moderate severity is a matter of debate. Macrolides expand the coverage to atypical pathogens and attenuate pulmonary inflammation, but have been ...
Aged Aged, 80 and over Adult Humans Propensity Score Anti-Bacterial Agents Male Machine Learning Macrolides Prospective Studies Severity of Illness Index Middle Aged Pneumonia, Bacterial Female Treatment Outcome Hospitalization Europe Community-Acquired Infections Drug Therapy, Combination beta-Lactams
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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...
Radiology Radiologists Societies, Medical Humans Artificial Intelligence Consensus Canada United States Europe
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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...
Artificial Intelligence Europe Radiology Practice Guidelines as Topic North America Humans Societies, Medical Codes of Ethics
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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...
Consensus Canada United States Europe Radiology Humans Artificial Intelligence Radiologists Societies, Medical
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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.
Arterial Pressure Aorta Cardiac Catheterization Neural Networks, Computer Coronary Artery Disease Machine Learning Heart Rate Patient Safety Humans Artifacts Female Databases, Factual Middle Aged Observer Variation Reproducibility of Results Europe Risk Factors Predictive Value of Tests Aged Coronary Angiography Male
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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-...
Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Europe Predictive Value of Tests Coronary Angiography Humans Machine Learning Female Asia Computed Tomography Angiography Fractional Flow Reserve, Myocardial North America Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Vascular Calcification
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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).
Publications Musculoskeletal Diseases Humans Rheumatic Diseases Sensitivity and Specificity Information Storage and Retrieval Neural Networks, Computer Advisory Committees Big Data Artificial Intelligence 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...
Optometrists False Positive Reactions Photography Ophthalmologists Glaucoma, Open-Angle Europe Diagnosis, Computer-Assisted Predictive Value of Tests Deep Learning Observer Variation Clinical Competence Humans Optic Disk ROC Curve Artificial Intelligence Optic Nerve Diseases Retrospective Studies Reproducibility of Results Sensitivity and Specificity
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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...
Air Pollution Particulate Matter Linear Models Nitrogen Dioxide Machine Learning Environmental Monitoring Europe Air Pollutants
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