AIMC Topic: Confidentiality

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Exploring the Privacy-Preserving Properties of Word Embeddings: Algorithmic Validation Study.

Journal of medical Internet research Jul 15, 2020
BACKGROUND: Word embeddings are dense numeric vectors used to represent language in neural networks. Until recently, there had been no publicly released embeddings trained on clinical data. Our work is the first to study the privacy implications of r...
Algorithms Natural Language Processing Confidentiality Humans
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Machine Learning Systems Applied to Health Data and System.

European journal of health law May 19, 2020
The use of machine learning (ML) in medicine is becoming increasingly fundamental to analyse complex problems by discovering associations among different types of information and to generate knowledge for medical decision support. Many regulatory and...
Humans Machine Learning Medical Informatics Trust Medical Device Legislation Software Decision Making Drug Discovery Precision Medicine Risk Management Drug Development Confidentiality Bias Malpractice Safety
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Active deep learning to detect demographic traits in free-form clinical notes.

Journal of biomedical informatics May 16, 2020
The free-form portions of clinical notes are a significant source of information for research, but before they can be used, they must be de-identified to protect patients' privacy. De-identification efforts have focused on known identifier types (nam...
Phenotype Deep Learning Confidentiality Humans Problem-Based Learning Demography
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Ethics and governance for digital disease surveillance.

Science (New York, N.Y.) May 11, 2020
COVID-19 Forecasting Confidentiality Machine Learning Pandemics Pneumonia, Viral Coronavirus Infections Datasets as Topic Epidemiological Monitoring Humans Artificial Intelligence
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Ethics in Health Informatics.

Yearbook of medical informatics Apr 17, 2020
Contemporary bioethics was fledged and is sustained by challenges posed by new technologies. These technologies have affected many lives. Yet health informatics affects more lives than any of them. The challenges include the development and the appro...
Information Dissemination Medical Informatics Bioethical Issues Public Policy Learning Health System Confidentiality Privacy Artificial Intelligence Big Data Humans
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Canadian Radiology in the Age of Artificial Intelligence: A Golden Opportunity.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Feb 27, 2020
Humans Databases, Factual Radiology Artificial Intelligence Canada Confidentiality Decision Making
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Innovative Technologies in Healthcare, Beware of the Pitfalls.

European journal of health law Feb 13, 2020
Confidentiality Biomedical Technology Computer Security Blockchain Artificial Intelligence Medical Device Legislation Electronic Health Records Robotics
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FastEmbed: Predicting vulnerability exploitation possibility based on ensemble machine learning algorithm.

PloS one Feb 6, 2020
In recent years, the number of vulnerabilities discovered and publicly disclosed has shown a sharp upward trend. However, the value of exploitation of vulnerabilities varies for attackers, considering that only a small fraction of vulnerabilities are...
Proof of Concept Study Computer Security Information Systems Machine Learning Confidentiality Risk-Taking Algorithms Data Collection Forecasting
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Opportunities and Challenges of Disruptive Innovation in Medicine Using Artificial Intelligence.

The American journal of medicine Jan 22, 2020
Disruptive Technology Machine Learning Humans Artificial Intelligence Diagnosis, Computer-Assisted Computer Security Data Mining Confidentiality Therapy, Computer-Assisted Inventions Blockchain
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Your evidence? Machine learning algorithms for medical diagnosis and prediction.

Human brain mapping Dec 5, 2019
Computer systems for medical diagnosis based on machine learning are not mere science fiction. Despite undisputed potential benefits, such systems may also raise problems. Two (interconnected) issues are particularly significant from an ethical point...
Magnetic Resonance Imaging Confidentiality Machine Learning Humans Evidence-Based Medicine Algorithms Artificial Intelligence Diagnosis, Computer-Assisted
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