AIMC Topic: Confidentiality

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HCAP: Hybrid cyber attack prediction model for securing healthcare applications.

PloS one Jan 1, 2025
The rapid development and integration of interconnected healthcare devices and communication networks within the Internet of Medical Things (IoMT) have significantly enhanced healthcare services. However, this growth has also introduced new vulnerabi...
Models, Theoretical Confidentiality Computer Security Internet of Things Machine Learning Humans Delivery of Health Care Neural Networks, Computer
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Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

Health informatics journal Jan 1, 2025
In the context of Chinese clinical texts, this paper aims to propose a deep learning algorithm based on Bidirectional Encoder Representation from Transformers (BERT) to identify privacy information and to verify the feasibility of our method for pri...
Humans China Confidentiality Computer Security Electronic Health Records Neural Networks, Computer Deep Learning Algorithms
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Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Precision medicine significantly enhances patients prognosis, offering personalized treatments. Particularly for metastatic cancer, incorporating primary tumor location into the diagnostic process greatly improves survival rates. However, traditional...
Precision Medicine Neoplasms Deep Learning Humans Machine Learning Neural Networks, Computer Algorithms Confidentiality Privacy Genomics Computer Security Computational Biology
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[Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data].

Sheng li xue bao : [Acta physiologica Sinica] Dec 25, 2024
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medi...
Humans Artificial Intelligence Informed Consent Computer Security Consensus Confidentiality
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Securing a Generative AI-Powered Healthcare Chatbot.

Studies in health technology and informatics Nov 22, 2024
In Generative Artificial Intelligence (AI), Large Language Models (LLMs) like GPT-4, Gemini, Claude, and Llama, significantly impact healthcare by aiding in patient care, medical research, and administrative tasks. AI-powered chatbots offer real-time...
Confidentiality Computer Security Humans Artificial Intelligence
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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...
Confidentiality Heart Diseases Information Storage and Retrieval Echocardiography Natural Language Processing Humans Electronic Health Records
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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...
Confidentiality Privacy Knowledge Bases Machine Learning Humans Computer Security Electronic Health Records
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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...
Humans Confidentiality Diagnostic Imaging Computer Security Machine Learning Bias Algorithms
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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...
Humans Machine Learning Magnetic Resonance Imaging Random Forest Brain Quality Assurance, Health Care Confidentiality Data Anonymization
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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...
Electronic Health Records Confidentiality France Humans Computer Security Machine Learning Health Records, Personal
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