Large Language Models: Transforming E-health
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: 20 December 2025 | Viewed by 20652
Special Issue Editors
Interests: large language models; prompt engineering; statistical fragility; blockchain technology; responsible AI
Interests: data standardization; medical technology; data exchange; e-health; biomedical informatics; privacy and security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Rapid advancements in large language models (LLMs) have opened up exciting new possibilities for transforming various domains, including e-health. LLMs, with their ability to understand, generate, and analyze human language at an unprecedented scale, are poised to revolutionize healthcare delivery, patient engagement, and medical research. The application of LLMs in e-health holds immense potential for improving patient outcomes, optimizing clinical processes, and driving innovation. From enhancing medical decision support systems to powering intelligent chatbots for patient interaction, LLMs are enabling a new era of smart, personalized, and accessible healthcare solutions.
This Special Issue explores the transformative impact of large language models on e-health. We invite contributions that showcase novel applications, cutting-edge research, and real-world case studies demonstrating the effectiveness of LLMs in addressing critical challenges and creating value in the e-health domain.
Topics of interest include, but are not limited to, the following:
- Innovative applications of LLMs for medical text analysis, patient engagement, and clinical decision support;
- Strategies for integrating LLMs into existing e-health systems and workflows;
- Evaluation frameworks and metrics for assessing the performances and impacts of LLMs in e-health settings;
- Ethical considerations, privacy concerns, and responsible development of LLMs for healthcare;
- Future research directions and opportunities at the intersection of LLMs and e-health.
We encourage submissions from software engineers, researchers, practitioners, and industry experts at the forefront of LLM applications in e-health. By bringing together diverse perspectives and showcasing the latest advancements, this Special Issue aims to provide a comprehensive overview of LLMs' current state and future potential for transforming e-health.
Dr. Thomas Heston
Dr. Enno van der Velde
Guest Editors
Manuscript Submission Information
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Keywords
- large language models
- generative AI
- responsible AI
- clinical decision support
- natural language processing
- e-health
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