AIMC Topic: Confidentiality
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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...
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 ...
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...
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...
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...
Artificial intelligence, chatbots, and the future of medicine.
The Lancet. Oncology
Apr 1, 2019
AI, Machine Learning, and Ethics in Health Care.
The Journal of legal medicine
Jan 1, 2019
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[Editor's Note].
Rinsho shinkeigaku = Clinical neurology
Jan 1, 2019
[Main legal issues concerning the processing of personal data concerning healthcare].
La Revue du praticien
Dec 1, 2018
Machine learning and genomics: precision medicine versus patient privacy.
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Sep 13, 2018
Machine learning can have a major societal impact in computational biology applications. In particular, it plays a central role in the development of precision medicine, whereby treatment is tailored to the clinical or genetic features of the patient...
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