AIMC Topic: Confidentiality

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Local large language models for privacy-preserving accelerated review of historic echocardiogram reports.

Journal of the American Medical Informatics Association : JAMIA Sep 1, 2024
OBJECTIVES: The study developed framework that leverages an open-source Large Language Model (LLM) to enable clinicians to ask plain-language questions about a patient's entire echocardiogram report history. This approach is intended to streamline th...
Humans Electronic Health Records Confidentiality Heart Diseases Information Storage and Retrieval Echocardiography Natural Language Processing
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Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data.

Studies in health technology and informatics Aug 30, 2024
INTRODUCTION: Retrieving comprehensible rule-based knowledge from medical data by machine learning is a beneficial task, e.g., for automating the process of creating a decision support system. While this has recently been studied by means of exceptio...
Electronic Health Records Humans Knowledge Bases Privacy Machine Learning Confidentiality Computer Security
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How Data Infrastructure Deals with Bias Problems in Medical Imaging.

Studies in health technology and informatics Aug 22, 2024
The paper discusses biases in medical imaging analysis, particularly focusing on the challenges posed by the development of machine learning algorithms and generative models. It introduces a taxonomy of bias problems and addresses them through a data...
Bias Confidentiality Computer Security Algorithms Diagnostic Imaging Humans Machine Learning
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Quality Assessment of Brain MRI Defacing Using Machine Learning.

Studies in health technology and informatics Aug 22, 2024
Defacing of brain magnetic resonance imaging (MRI) scans is a crucial process in medical imaging research aimed at preserving patient privacy while maintaining data integrity. However, existing defacing algorithms are prone to errors, potentially com...
Random Forest Confidentiality Brain Magnetic Resonance Imaging Data Anonymization Quality Assurance, Health Care Humans Machine Learning
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Secure Extraction of Personal Information from EHR by Federated Machine Learning.

Studies in health technology and informatics Aug 22, 2024
Secure extraction of Personally Identifiable Information (PII) from Electronic Health Records (EHRs) presents significant privacy and security challenges. This study explores the application of Federated Learning (FL) to overcome these challenges wit...
Humans Machine Learning Electronic Health Records France Confidentiality Computer Security Health Records, Personal
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Methods and Algorithms of Ensuring Data Privacy in AI-Based Healthcare Systems and Technologies.

Studies in health technology and informatics Aug 22, 2024
This project seeks to devise novel algorithms and techniques leveraged in healthcare to guarantee data privacy in AI-powered systems. To bolster its credibility, the study review presents various modern approaches and technologies used to preserve da...
Confidentiality Humans Computer Security Artificial Intelligence Delivery of Health Care Digital Health Electronic Health Records
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[ARTIFICIAL INTELLIGENCE AND MEDICAL ETHICS].

Harefuah Jul 1, 2024
Artificial intelligence has burst into our lives with great vigor in recent years. We encounter it in all areas of life, as well as in the field of medicine. The article refers to medical ethics in two areas: One field is medicine based on Mega Data ...
Humans Artificial Intelligence Big Data Ethics, Medical Physicians Personal Autonomy Confidentiality
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Machine Learning in Health Care: Ethical Considerations Tied to Privacy, Interpretability, and Bias.

North Carolina medical journal Jun 1, 2024
Machine learning models hold great promise with medical applications, but also give rise to a series of ethical challenges. In this survey we focus on training data, model interpretability and bias and the related issues tied to privacy, autonomy, an...
Confidentiality Delivery of Health Care Privacy Bias Humans Machine Learning
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A review on legal issues of medical robots.

Medicine May 24, 2024
This paper examines the legal challenges associated with medical robots, including their legal status, liability in cases of malpractice, and concerns over patient data privacy and security. And this paper scrutinizes China's nuanced response to thes...
Malpractice Robotics Humans Computer Security Confidentiality China Liability, Legal
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Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: To develop and validate a natural language processing (NLP) pipeline that detects 18 conditions in French clinical notes, including 16 comorbidities of the Charlson index, while exploring a collaborative and privacy-enhancing workflow.
Natural Language Processing Workflow Data Warehousing Humans Algorithms Confidentiality Machine Learning Electronic Health Records France
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