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Confidentiality

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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
Radiology Confidentiality Databases, Factual Canada Decision Making Humans Artificial Intelligence
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Innovative Technologies in Healthcare, Beware of the Pitfalls.

European journal of health law Feb 13, 2020
Artificial Intelligence Biomedical Technology Computer Security Blockchain Medical Device Legislation Electronic Health Records Robotics Confidentiality
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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...
Machine Learning Algorithms Proof of Concept Study Computer Security Information Systems Risk-Taking Forecasting Confidentiality Data Collection
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Opportunities and Challenges of Disruptive Innovation in Medicine Using Artificial Intelligence.

The American journal of medicine Jan 22, 2020
Inventions Computer Security Therapy, Computer-Assisted Blockchain Disruptive Technology Diagnosis, Computer-Assisted Confidentiality Data Mining Humans Artificial Intelligence Machine Learning
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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 Evidence-Based Medicine Machine Learning Algorithms Diagnosis, Computer-Assisted Humans Artificial Intelligence
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A study of deep learning methods for de-identification of clinical notes in cross-institute settings.

BMC medical informatics and decision making Dec 5, 2019
BACKGROUND: De-identification is a critical technology to facilitate the use of unstructured clinical text while protecting patient privacy and confidentiality. The clinical natural language processing (NLP) community has invested great efforts in de...
Linguistics Natural Language Processing Confidentiality Data Anonymization Humans Electronic Health Records Deep Learning
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AI ethics, accountability, and sustainability: revisiting the Hippocratic oath.

Acta orthopaedica Oct 30, 2019
Humans Artificial Intelligence Hippocratic Oath Decision Support Techniques Access to Information Image Interpretation, Computer-Assisted Social Responsibility Confidentiality
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Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing.

Circulation. Cardiovascular quality and outcomes Jul 9, 2019
BACKGROUND: Data sharing accelerates scientific progress but sharing individual-level data while preserving patient privacy presents a barrier.
Humans Computer Simulation Deep Learning Hypertension Treatment Outcome Randomized Controlled Trials as Topic Data Collection Information Dissemination Computer Security Blood Pressure Antihypertensive Agents Confidentiality
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A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
New York Male Patient Participation Middle Aged Young Adult Informed Consent Surveys and Questionnaires Adult Information Dissemination Adolescent Biomedical Research Academic Medical Centers Natural Language Processing Humans Confidentiality Health Personnel Female
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Parsing clinical text using the state-of-the-art deep learning based parsers: a systematic comparison.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Databases as Topic New York Patient Participation Confidentiality Data Anonymization Information Dissemination Humans Female Surveys and Questionnaires Male Adult Natural Language Processing Deep Learning Biomedical Research
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