AIMC Topic: Confidentiality

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Using word embeddings to improve the privacy of clinical notes.

Journal of the American Medical Informatics Association : JAMIA Jun 1, 2020
OBJECTIVE: In this work, we introduce a privacy technique for anonymizing clinical notes that guarantees all private health information is secured (including sensitive data, such as family history, that are not adequately covered by current technique...
United States Humans Natural Language Processing Algorithms Confidentiality Data Anonymization Electronic Health Records Health Insurance Portability and Accountability Act Health Records, Personal
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Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

Anesthesia and analgesia Jun 1, 2020
United States Decision Making Europe Point-of-Care Systems Clinical Competence Decision Support Systems, Clinical United States Food and Drug Administration Humans Medical Informatics Machine Learning Anesthesia Electronic Health Records Workflow Confidentiality Data Collection
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The Ethics of Medical AI and the Physician-Patient Relationship.

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees Jan 1, 2020
This article considers recent ethical topics relating to medical AI. After a general discussion of recent medical AI innovations, and a more analytic look at related ethical issues such as data privacy, physician dependency on poorly understood AI he...
Informed Consent European Union Physician-Patient Relations Ethics, Medical Confidentiality Humans Artificial Intelligence Physicians Robotics
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AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2020
Typical personal medical data contains sensitive information about individuals. Storing or sharing the personal medical data is thus often risky. For example, a short DNA sequence can provide information that can identify not only an individual, but ...
Humans Sequence Analysis, DNA Confidentiality Privacy Machine Learning Genomics Computational Biology
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The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight.

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: Clinical corpora can be deidentified using a combination of machine-learned automated taggers and hiding in plain sight (HIPS) resynthesis. The latter replaces detected personally identifiable information (PII) with random surrogates, allo...
Washington Personally Identifiable Information Data Anonymization Ambulatory Care Facilities Computer Security Delivery of Health Care Electronic Health Records Confidentiality Humans Machine Learning
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Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.

Studies in health technology and informatics Aug 21, 2019
Clinical text de-identification enables collaborative research while protecting patient privacy and confidentiality; however, concerns persist about the reduction in the utility of the de-identified text for information extraction and machine learnin...
Confidentiality Data Anonymization Machine Learning Electronic Health Records Deep Learning Humans
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Fair compute loads enabled by blockchain: sharing models by alternating client and server roles.

Journal of the American Medical Informatics Association : JAMIA May 1, 2019
OBJECTIVE: Decentralized privacy-preserving predictive modeling enables multiple institutions to learn a more generalizable model on healthcare or genomic data by sharing the partially trained models instead of patient-level data, while avoiding risk...
Health Information Systems Blockchain Machine Learning Algorithms Decision Support Systems, Clinical Genomics Information Dissemination Humans Models, Theoretical Information Systems Confidentiality Computer Communication Networks
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Artificial intelligence, chatbots, and the future of medicine.

The Lancet. Oncology Apr 1, 2019
Medical Oncology Standard of Care Humans Health Communication Confidentiality Artificial Intelligence Information Dissemination Medicine
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AI, Machine Learning, and Ethics in Health Care.

The Journal of legal medicine Jan 1, 2019
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Neural Networks, Computer Artificial Intelligence Machine Learning Bioethics Confidentiality Social Responsibility Legislation as Topic Informed Consent Personal Autonomy Data Science Congresses as Topic Beneficence Social Justice Health Equity
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[Editor's Note].

Rinsho shinkeigaku = Clinical neurology Jan 1, 2019
Confidentiality Medical Records Systems, Computerized Neurology Humans Artificial Intelligence Periodicals as Topic
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