Large Language Models: Transforming E-health

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• large language models
• generative AI
• responsible AI
• clinical decision support
• natural language processing
• e-health