Ehealth, Telemedicine, and AI in the Precision Medicine Era
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 52
Special Issue Editor
2. Centre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montréal, QC, Canada
Interests: applied artificial intelligence; aging; global health; virtual reality; health equity; digital health
Special Issue Information
Dear Colleagues,
Topic brief introduction: We are pleased to introduce a Special Issue focusing on eHealth, telemedicine, AI, and rehabilitation in the precision medicine era. This Special Issue explores how these technologies intersect to optimize healthcare delivery and enhance patient outcomes.
Background: The integration of eHealth, telemedicine, AI, and rehabilitation represents a major advancement in healthcare, enhancing treatment personalization and patient care through digital technologies. Now, these technologies promise to further enhance precision medicine with personalized treatments and proactive care.
Aim and Scope: This Special Issue explores the applications of eHealth, telemedicine, AI, and telerehabilitation in advancing precision medicine. It aims to optimize diagnosis, treatment strategies, and patient management through innovative technological solutions.
Types of Papers Solicited: Original research articles and reviews that explore the integration of digital health technologies in personalized medicine and rehabilitation.
This Special Issue will feature papers on the integration, evaluation, and practical application of eHealth and AI in medicine and rehabilitation. It aims to provide a platform for sharing rapid advancements in AI, precision medicine, wearable devices, remote monitoring, eHealth applications, telemedicine, telerehabilitation, and virtual conferencing tools. Themes include, but are not limited to, innovative assessment and screening methods, AI-driven treatment planning and monitoring, personalized intervention strategies, and the use of LLMs (Large Language Models) in healthcare. Throughout this Special Issue, I look forward to facilitating active discussion on this topic.
Dr. Mirella Veras
Guest Editor
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. Journal of Personalized Medicine is an international peer-reviewed open access monthly 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 2600 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.
Keywords
- digital health
- artificial intelligence
- telemedicine
- telerehabilitation
- E-health
- precision medicine
- remote monitoring
- wearable devices
- mobile health (mHealth)
- virtual health
- health informatics
- machine learning
- predictive analytics
- personalized medicine
- health technology
