AIMC Topic: Confidentiality

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Novel Method for Safeguarding Personal Health Record in Cloud Connection Using Deep Learning Models.

Computational intelligence and neuroscience Mar 19, 2022
It is a new online service paradigm that allows consumers to exchange their health data. Health information management software allows individuals to control and share their health data with other users and healthcare experts. Patient health records ...
Health Records, Personal Information Storage and Retrieval Computer Security Humans Deep Learning Confidentiality
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A Federated Mining Approach on Predicting Diabetes-Related Complications: Demonstration Using Real-World Clinical Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Chronic diabetes can lead to microvascular complications, including diabetic eye disease, diabetic kidney disease, and diabetic neuropathy. However, the long-term complications often remain undetected at the early stages of diagnosis. Developing a ma...
Privacy Humans Delivery of Health Care Machine Learning Diabetes Mellitus Confidentiality
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An Intelligent Control Model of Credit Line Computing in Intelligence Health-Care Systems.

Frontiers in public health Sep 10, 2021
Technologies such as machine learning and artificial intelligence have brought about a tremendous change to biomedical computing and intelligence health care. As a principal component of the intelligence healthcare system, the hospital information sy...
Humans Confidentiality Privacy Artificial Intelligence Delivery of Health Care Intelligence
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Legal and ethical considerations of artificial intelligence in skin cancer diagnosis.

The Australasian journal of dermatology Aug 18, 2021
Artificial intelligence (AI) technology is becoming increasingly accurate and prevalent for the diagnosis of skin cancers. Commercially available AI diagnostic software is entering markets across the world posing new legal and ethical challenges for ...
Informed Consent Malpractice Liability, Legal Diagnosis, Computer-Assisted Australia Confidentiality Humans Artificial Intelligence Software Skin Neoplasms
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A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack.

IEEE/ACM transactions on computational biology and bioinformatics Jun 3, 2021
Deep learning is widely used in the medical field owing to its high accuracy in medical image classification and biological applications. However, under collaborative deep learning, there is a serious risk of information leakage based on the deep con...
Confidentiality Computer Security Neural Networks, Computer Deep Learning Humans Computational Biology
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Swarm Learning for decentralized and confidential clinical machine learning.

Nature May 26, 2021
Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes. However, there is an i...
Clinical Decision-Making Female Male Software COVID-19 Precision Medicine Lung Diseases Tuberculosis Datasets as Topic Disease Outbreaks Leukocytes Confidentiality Humans Machine Learning Leukemia Blockchain
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How US law will evaluate artificial intelligence for covid-19.

BMJ (Clinical research ed.) Mar 15, 2021
explore the legal implications of using artificial intelligence in the response to covid-19 and call for more robust evaluation frameworks
Confidentiality Health Insurance Portability and Accountability Act Personally Identifiable Information Social Discrimination SARS-CoV-2 Humans Risk Assessment Artificial Intelligence United States Machine Learning COVID-19
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VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchange.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Answering many of the research questions in the field of cancer informatics requires incorporating and centralizing data that are hosted by different parties. Federated Learning (FL) has emerged as a new approach in which a global model can be genera...
Humans Learning Machine Learning Confidentiality Privacy
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Secure and Robust Machine Learning for Healthcare: A Survey.

IEEE reviews in biomedical engineering Jan 22, 2021
Recent years have witnessed widespread adoption of machine learning (ML)/deep learning (DL) techniques due to their superior performance for a variety of healthcare applications ranging from the prediction of cardiac arrest from one-dimensional heart...
Humans Confidentiality Machine Learning Electronic Health Records Diagnosis, Computer-Assisted
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Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsia Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Stakeholder Participation Electrocorticography Societies, Medical Common Data Elements Research Support as Topic Biological Ontologies Neuroimaging Biomedical Research Computer Security Deep Learning Information Dissemination Big Data Advisory Committees Epilepsy Humans Confidentiality Brain Telemedicine Electronic Health Records Wearable Electronic Devices Smartphone Genomics
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