AIMC Topic: Confidentiality
Clear Filters Showing 71 to 80 of 177 articles
Ethics and governance for digital disease surveillance.
Science (New York, N.Y.)
May 11, 2020
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...
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
Innovative Technologies in Healthcare, Beware of the Pitfalls.
European journal of health law
Feb 13, 2020
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...
Opportunities and Challenges of Disruptive Innovation in Medicine Using Artificial Intelligence.
The American journal of medicine
Jan 22, 2020
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...
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...
AI ethics, accountability, and sustainability: revisiting the Hippocratic oath.
Acta orthopaedica
Oct 30, 2019
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.
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