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Frontiers in Digital Health is a multidisciplinary open-access journal publishing rigorously peer-reviewed research in its field. It positions itself at the forefront of disseminating and communicating latest and excellent scientific knowledge and crucial findings. It aims to provide a forum for an era of health service hopefully marked by increasing prediction and prevention, as medicine and health care is increasingly becoming personalised to our individual needs.
We have come a long way from modern medicine in the 19th century via mechanisation in the 20th century, subsequent increasing automation and the rise of information technology in medicine, finally arriving at “Medicine 4.0” in the age of Digital Health. Today, after this wild ride from the arrival of modern anaesthesia via x-ray to the first robotics in medicine, we witness increasing “digitisation” and connection of medical data collected in rapidly growing size. The great improvements seen in Artificial Intelligence in the last decade such as by the advent of Deep Learning and the great achievements recently made in Big Data analysis help these days to gain deeper insight into diseases and health care challenges often from a bigger population than ever before. At the same time, medicine and health care is increasingly becoming personalised to our individual needs likewise increasing effectiveness, usability, and thereby hopefully the adherence of patients. Related to these advancements, health technology continues to re-innovate itself benefitting from the field’s fast-paced changes driven by the rise of Digital Health. All these highly promising changes and innovations, however, lead to urgent ethical questions that require rapid and rigorous responses. Putting all of the pieces together, there is great promise to lead into an era of health service hopefully marked by increasing prediction and prevention rather than diagnosis and treatment available to all, anywhere, anytime, efficient, explainable, ethical, reliable, robust, and in real-time.
In this light, Frontiers in Digital Health is a multidisciplinary open-access journal publishing rigorously peer-reviewed research in its field. It positions itself at the forefront of disseminating and communicating latest and excellent scientific knowledge and highly impactful and crucial discoveries and findings in its field.
Frontiers in Digital Health is based on a number of Specialty Sections. These cover the different areas of research in the field. The Specialty Sections include Health Informatics, Health Technology Innovation, Personalized Medicine, and Connected Health. To best overlook and guide the highest quality of its contributions, Field Chief Editor Björn W. Schuller (Imperial College London and University of Augsburg) is supported by an outstanding Editorial Board of world-leading researchers around the globe. The author guidelines provide further details on article types and the submission process.
Short Name: Front. Digit. Health
Electronic ISSN: 2673-253X
Indexed in: Google Scholar
Frontiers in Digital Health is composed of the following Specialty Sections:
The specialty sections of Frontiers in Digital Health welcome submission of the following article types: Brief Research Report, Correction, Data Report, Editorial, Field Grand Challenge, General Commentary, Hypothesis and Theory, Methods, Mini Review, Opinion, Original Research, Perspective, Policy and Practice Reviews, Policy Brief, Review, Specialty Grand Challenge and Systematic Review.
When submitting a manuscript to Frontiers in Digital Health, authors must submit the material directly to one of the specialty sections. Manuscripts are peer-reviewed by the Associate and Review Editors of the respective specialty section.
Articles published in the specialty sections above will benefit from the Frontiers impact and tiering system after online publication. Authors of published original research with the highest impact, as judged democratically by the readers, will be invited by the Chief Editor to write a Frontiers Focused Review - a tier-climbing article. This is referred to as "democratic tiering". The author selection is based on article impact analytics of original research published in the Frontiers specialty journals and sections. Focused Reviews are centered on the original discovery, place it into a broader context, and aim to address the wider community across all of Digital Health.
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