AIMC Topic: Confidentiality

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Domain Knowledge-Driven Generation of Synthetic Healthcare Data.

Studies in health technology and informatics May 18, 2023
Healthcare longitudinal data collected around patients' life cycles, today offer a multitude of opportunities for healthcare transformation utilizing artificial intelligence algorithms. However, access to "real" healthcare data is a big challenge due...
Algorithms Electronic Health Records Humans Artificial Intelligence Confidentiality
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Therapists or Replicants? Ethical, Legal, and Social Considerations for Using ChatGPT in Therapy.

The American journal of bioethics : AJOB May 1, 2023
Artificial Intelligence Confidentiality Psychotherapy Humans
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Optimal vocabulary selection approaches for privacy-preserving deep NLP model training for information extraction and cancer epidemiology.

Cancer biomarkers : section A of Disease markers Jan 1, 2022
BACKGROUND: With the use of artificial intelligence and machine learning techniques for biomedical informatics, security and privacy concerns over the data and subject identities have also become an important issue and essential research topic. Witho...
Deep Learning Natural Language Processing Confidentiality Information Storage and Retrieval Artificial Intelligence Registries Neoplasms Humans
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AI drug discovery booms in China.

Nature biotechnology Aug 1, 2021
Drug Discovery China Confidentiality Humans Artificial Intelligence Drug Industry
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Privacy-protecting, reliable response data discovery using COVID-19 patient observations.

Journal of the American Medical Informatics Association : JAMIA Jul 30, 2021
OBJECTIVE: To utilize, in an individual and institutional privacy-preserving manner, electronic health record (EHR) data from 202 hospitals by analyzing answers to COVID-19-related questions and posting these answers online.
Computer Communication Networks Common Data Elements Confidentiality Information Storage and Retrieval Female Male Natural Language Processing Registries Logistic Models Algorithms Electronic Health Records Humans COVID-19
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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...
Artificial Intelligence Gastroenterology Confidentiality Conflict of Interest Physician-Patient Relations Humans
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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...
Disclosure Machine Learning Bayes Theorem Confidentiality Data Management Humans Neural Networks, Computer Datasets as Topic Data Anonymization Information Dissemination
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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 ...
COVID-19 Electronic Health Records SARS-CoV-2 Humans Confidentiality Machine Learning Computer Security
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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.
Artificial Intelligence Humans 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...
Clinical Laboratory Techniques Models, Theoretical Confidentiality Databases as Topic Reproducibility of Results Humans Chemistry, Clinical Diagnostic Errors Artificial Intelligence
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