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Computer Security

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Robust privacy amidst innovation with large language models through a critical assessment of the risks.

Journal of the American Medical Informatics Association : JAMIA
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...

Bridging the gaps: Overcoming challenges of implementing AI in healthcare.

Med (New York, N.Y.)
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
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...

The INNOVATE framework to foster ethics of artificial intelligence.

Recenti progressi in medicina
ChatGPT, the latest advancement in Artificial Intelligence (AI), represents one of the most advanced and rapidly evolving chatbot technologies to date. Its capability to provide swift and intelligent responses has garnered admiration from scientists ...

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
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...

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
With the wide application of new technologies such as large language models and generative artificial intelligence (AI) in the health care sector, artificial intelligence-assisted health care is confronted with new forms of legal risks. The algorithm...

Digital transformation in healthcare management: from Artificial Intelligence to blockchain.

Wiadomosci lekarskie (Warsaw, Poland : 1960)
The digital transformation of healthcare is revolutionizing the management of medical institutions, improving operational efficiency, patient outcomes, and data security. With the increasing complexity of healthcare systems, the integration of cuttin...

Identifying protected health information by transformers-based deep learning approach in Chinese medical text.

Health informatics journal
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...

Enhancing Privacy-Preserving Cancer Classification with Convolutional Neural Networks.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
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...

Secure messaging telehealth billing in the digital age: moving beyond time-based metrics.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: We proposed adopting billing models for secure messaging (SM) telehealth services that move beyond time-based metrics, focusing on the complexity and clinical expertise involved in patient care.