AIMC Topic: Confidentiality
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A comparative analysis of privacy-preserving large language models for automated echocardiography report analysis.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2025
BACKGROUND: Automated data extraction from echocardiography reports could facilitate large-scale registry creation and clinical surveillance of valvular heart diseases (VHD). We evaluated the performance of open-source large language models (LLMs) gu...
The potential of artificial intelligence to transform medicine.
Current opinion in pediatrics
Jun 1, 2025
PURPOSE OF REVIEW: Increased incorporation of artificial intelligence in medicine has raised questions regarding how it can enhance efficiency in concert with providing accurate medical information without violating patient privacy. Pediatricians sho...
Evaluating LLMs' Potential to Identify Rare Patient Identifiers in Patient Health Records.
Studies in health technology and informatics
May 15, 2025
This study explores the utility of Large Language Models (LLMs) to support finding rare patient record details that could make a patient identifiable. Whilst most research has focused on what we call direct patient identifiers, indirect patient ident...
Privacy-Protecting Image Classification Within the Web Browser Using Deep Learning Models from Zenodo.
Studies in health technology and informatics
May 15, 2025
Integrating deep learning into clinical workflows for medical image analysis holds promise for improving diagnostic accuracy. However, strict data privacy regulations and the sensitivity of clinical IT infrastructure limit the deployment of cloud-bas...
Ethics From the Outset: Incorporating Ethical Considerations into the Artificial Intelligence and Technology Collaboratories for Aging Research Pilot Projects.
The journals of gerontology. Series A, Biological sciences and medical sciences
May 5, 2025
There is an urgent need to develop tools to enable older adults to live healthy, independent lives for as long as possible. To address this need, the National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITCs) for...
Robust privacy amidst innovation with large language models through a critical assessment of the risks.
Journal of the American Medical Informatics Association : JAMIA
May 1, 2025
OBJECTIVE: This study evaluates the integration of electronic health records (EHRs) and natural language processing (NLP) with large language models (LLMs) to enhance healthcare data management and patient care, focusing on using advanced language mo...
Acceptance and Usage of AI Applications in Health-Focused NGOs.
Studies in health technology and informatics
Apr 24, 2025
BACKGROUND: AI applications promise to be a valuable tool for health-focused NGOs. While often operating with limited resources, these organizations recognize the potential of AI to streamline processes and support workflows through automation. Howev...
Bridging the gaps: Overcoming challenges of implementing AI in healthcare.
Med (New York, N.Y.)
Apr 11, 2025
Artificial intelligence (AI) in healthcare promises transformative advancements, from enhancing diagnostics to optimizing personalized treatments. Realizing its full potential, however, requires addressing key challenges, including explainability, bi...
Data Governance in Healthcare AI: Navigating the EU AI Act's Requirements.
Studies in health technology and informatics
Apr 8, 2025
The integration of Artificial Intelligence (AI) into healthcare has the potential to revolutionize patient care, diagnostics, and treatment planning. However, this integration also introduces significant challenges related to data governance, privacy...
Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2025
BACKGROUND: Generative AI, particularly large language models (LLMs), holds great potential for improving patient care and operational efficiency in healthcare. However, the use of LLMs is complicated by regulatory concerns around data security and p...
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