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Frontiers in Digital Health is a peer-reviewed journal published by Frontiers, covering Digital Mental Health Interventions, Mobile Health and mHealth Applications, Artificial Intelligence in Healthcare and Education. Over its lifetime it has published 2,052 papers, which have received 24,197 citations.
| Publisher | Frontiers |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Frontiers in Digital Health. 2023;12(3):45–58.
Formats any DOI in Frontiers in Digital Health style. No sign-up. |
| Publishes research in | Digital Mental Health Interventions Mobile Health and mHealth Applications Artificial Intelligence in Healthcare and Education Telemedicine and Telehealth Implementation Machine Learning in Healthcare |
| ISSN | 2673-253X |
| Citation impact (2-yr) | 4.5 |
| h-index | 62 |
| i10-index | 599 |
| Article processing charge | $1,900 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Imperial College London |
| Journal website | www.frontiersin.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Digital communication tools have demonstrated significant potential to improve health literacy which ultimately leads to better health outcomes. In this article, we examine the power of digital communication tools such as mobile health apps, telemedicine and online health information resources to promote health and digital literacy. We outline evidence that digital tools facilitate patient education,…
The COVID-19 pandemic has brought into sharp focus the need to harness and leverage our digital infrastructure for remote patient monitoring. As current viral tests and vaccines are slow to emerge, we see a need for more robust disease detection and monitoring of individual and population health, which could be aided by wearable sensors. While…
Advancements in computing and data from the near universal acceptance and implementation of electronic health records has been formative for the growth of personalized, automated, and immediate patient care models that were not previously possible. Artificial intelligence (AI) and its subfields of machine learning, reinforcement learning, and deep learning are well-suited to deal with such…
Digital twin technology is revolutionizing healthcare systems by leveraging real-time data integration, advanced analytics, and virtual simulations to enhance patient care, enable predictive analytics, optimize clinical operations, and facilitate training and simulation. With the ability to gather and analyze a wealth of patient data from various sources, digital twins can offer personalized treatment plans based…
Mental health disorders are complex disorders of the nervous system characterized by a behavioral or mental pattern that causes significant distress or impairment of personal functioning. Mental illness is of particular concern for younger people. The WHO estimates that around 20% of the world's children and adolescents have a mental health condition, a rate that…
