AIMC Topic: Confidentiality

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Mapping ethico-legal principles for the use of artificial intelligence in gastroenterology.

Journal of gastroenterology and hepatology May 1, 2021
The rapid development of artificial intelligence (AI) and digital health raise concerns about equitable access to innovative interventions, appropriate use of health data and privacy, inclusiveness, bias and discrimination, and even changes to the cl...
Humans Physician-Patient Relations Confidentiality Conflict of Interest Artificial Intelligence Gastroenterology
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Application of Bayesian networks to generate synthetic health data.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: This study seeks to develop a fully automated method of generating synthetic data from a real dataset that could be employed by medical organizations to distribute health data to researchers, reducing the need for access to real data. We h...
Information Dissemination Confidentiality Datasets as Topic Neural Networks, Computer Data Anonymization Data Management Machine Learning Disclosure Humans Bayes Theorem
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The value of federated learning during and post-COVID-19.

International journal for quality in health care : journal of the International Society for Quality in Health Care Mar 4, 2021
Federated learning (FL) as a distributed machine learning (ML) technique has lately attracted increasing attention of healthcare stakeholders as FL is perceived as a promising decentralized approach to address data privacy and security concerns. The ...
Humans Machine Learning COVID-19 Confidentiality Computer Security Electronic Health Records SARS-CoV-2
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Privacy-preserving Collaborative Training for Medical Image Analysis Based on Multi-Blockchain.

Combinatorial chemistry & high throughput screening Jan 1, 2021
BACKGROUND: As artificial intelligence and big data analysis develop rapidly, data privacy, especially patient medical data privacy, is getting more and more attention.
Humans Artificial Intelligence Confidentiality
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The emergence of new trends in clinical laboratory diagnosis.

Saudi medical journal Nov 1, 2020
Diagnostic processes typically rely on traditional and laborious methods, that are prone to human error, resulting in frequent misdiagnosis of diseases. Computational approaches are being increasingly used for more precise diagnosis of the clinical p...
Chemistry, Clinical Clinical Laboratory Techniques Confidentiality Databases as Topic Humans Artificial Intelligence Diagnostic Errors Models, Theoretical Reproducibility of Results
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A critical perspective on guidelines for responsible and trustworthy artificial intelligence.

Medicine, health care, and philosophy Sep 1, 2020
Artificial intelligence (AI) is among the fastest developing areas of advanced technology in medicine. The most important qualia of AI which makes it different from other advanced technology products is its ability to improve its original program and...
Privacy Guidelines as Topic Philosophy, Medical Artificial Intelligence Confidentiality Humans
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Fold-stratified cross-validation for unbiased and privacy-preserving federated learning.

Journal of the American Medical Informatics Association : JAMIA Aug 1, 2020
OBJECTIVE: We introduce fold-stratified cross-validation, a validation methodology that is compatible with privacy-preserving federated learning and that prevents data leakage caused by duplicates of electronic health records (EHRs).
Humans Electronic Health Records Computer Security Machine Learning Data Anonymization Confidentiality Algorithms
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Generating sequential electronic health records using dual adversarial autoencoder.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Recent studies on electronic health records (EHRs) started to learn deep generative models and synthesize a huge amount of realistic records, in order to address significant privacy issues surrounding the EHR. However, most of them only fo...
Humans Neural Networks, Computer Software Computer Simulation Machine Learning Electronic Health Records 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...
Natural Language Processing Data Anonymization Electronic Health Records Humans Health Insurance Portability and Accountability Act United States Confidentiality Health Records, Personal Algorithms
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Machine-Learning Implementation in Clinical Anesthesia: Opportunities and Challenges.

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