Special Issue "e-Health in Vascular Diseases"
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Vascular Medicine".
Deadline for manuscript submissions: 25 July 2023 | Viewed by 2155
Special Issue Editors
Interests: vascular diseases; artificial intelligence; machine learning; deep learning; vascular biology; e-Health
Special Issues, Collections and Topics in MDPI journals
2. German Institute for Vascular Research, Berlin, Germany
Interests: vascular surgery; health services research; peripheral artery disease; epidemiology; comparative outcomes; e-Health
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; vascular imaging; innovative technique; aneurysm; machine learning; tele-medicine; m-Health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The concept of digital health or “e-Health”, which refers to the use of IT technology in the healthcare sector, has emerged as an essential tool with a wide range of potential applications for clinical practice. Artificial intelligence has brought firth new technologies that can enable e-health development, and major advances have been achieved over the past few years in the management of cardiovascular diseases.
e-health regroups a very broad domain including, among others, artificial intelligence, wearable technologies, and mobile technologies. The COVID-19 crisis has shown how technology can be wielded under the banner of e-health to help healthcare around the world, and there is an increasing interest in its implementation in daily clinical practice.
Indeed, e-health and artificial intelligence have led to the development of innovative tools for the management of cardiovascular diseases. Thus, updates and presentations of innovations are necessary to provide to clinicians an overview of what can be expected for their future clinical practice.
The aim of this Special Issue is to provide an update or present innovative applications of e-health and/or artificial intelligence to diagnose, monitor, follow, treat, or prevent cardiovascular diseases. Original articles, research letters, reviews, opinions, and editorials are invited.
Dr. Juliette Raffort
Dr. Christian Alexander Behrendt
Dr. Fabien Lareyre
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. Journal of Clinical Medicine 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 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
- e-Health
- artificial intelligence
- m-health
- machine learning
- cardiovascular disease
