• Exploration of Digital Health Technologies

    eISSN: 2996-9409
    EiC: Atanas G. Atanasov, Austria
    Frequency: Bimonthly
    APC: No Article Processing Charge before November 30, 2028
    Publishing Model: Open Access
    Peer Review Model: Single Blind
    Permanent Archive: Portico
    Indexing & Archiving: Google Scholar, Dimensions, MyScienceWork, Portico, etc.
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    Articles
    Open Access
    Perspective
    Development of a telemedicine network for early oral cancer diagnosis: the Argentine Patagonia experience—a perspective through a pilot study
    Geographic areas like Argentine Patagonia face significant barriers in the fight against oral cancer due to great distances, extreme weather conditions, and a shortage of specialists. These factors  [...] Read more.
    Romina Andrian ... Gerardo Gilligan
    Published: October 10, 2024 Explor Digit Health Technol. 2024;2:279–290
    DOI: https://doi.org/10.37349/edht.2024.00028
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:222
    Download:18
    Times Cited: 0
    Open Access
    Perspective
    mHealth interventions to improve public knowledge of HPV-associated oropharyngeal cancer in the UK
    In the United Kingdom (UK), the current prevalence rates of oropharyngeal cancer linked to human papillomavirus (HPV) are 6.29% and 2.04% in men and women, respectively. Over the years, the burden o [...] Read more.
    Kehinde Kazeem Kanmodi ... Jacob Njideka Nwafor
    Published: September 30, 2024 Explor Digit Health Technol. 2024;2:271–278
    DOI: https://doi.org/10.37349/edht.2024.00027
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:253
    Download:21
    Times Cited: 0
    Open Access
    Review
    Harnessing the potential of ChatGPT in pharmacy management: a concise review
    ChatGPT is one of the promising AI-based language models which has the potential to contribute to pharmacy settings in many aspects. This paper focuses on the possible aspects of pharmacy management [...] Read more.
    Abdullah Al Noman ... Sakib M. Moinuddin
    Published: September 18, 2024 Explor Digit Health Technol. 2024;2:259–270
    DOI: https://doi.org/10.37349/edht.2024.00026
    View:635
    Download:44
    Times Cited: 0
    Open Access
    Perspective
    How to improve photographs with smartphones for oral telemedicine
    Photographic images are an essential tool in oral medicine practice, even though their value is conditioned by their quality. Digital photography using smartphones (SPhs) has had many advances, nowa [...] Read more.
    Eduardo D. Piemonte ... Jerónimo P. Lazos
    Published: September 13, 2024 Explor Digit Health Technol. 2024;2:249–258
    DOI: https://doi.org/10.37349/edht.2024.00025
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:424
    Download:31
    Times Cited: 0
    Open Access
    Review
    Rise of the machines: trends and challenges of implementing AI in biomedical scientific writing
    Artificial intelligence (AI) technology is advancing significantly, with many applications already in medicine, healthcare, and biomedical research. Among these fields, the area that AI is remarkabl [...] Read more.
    Michal Fornalik ... Aleksandra Zielińska
    Published: September 04, 2024 Explor Digit Health Technol. 2024;2:235–248
    DOI: https://doi.org/10.37349/edht.2024.00024
    View:742
    Download:53
    Times Cited: 0
    Open Access
    Original Article
    An introduction to Self-Aware Deep Learning for medical imaging and diagnosis
    Aim: This study represents preliminary research for testing the effectiveness of the Self-Aware Deep Learning (SAL) methodology in the context of medical diagnostics using various types of attrib [...] Read more.
    Paolo Dell’Aversana
    Published: August 15, 2024 Explor Digit Health Technol. 2024;2:218–234
    DOI: https://doi.org/10.37349/edht.2024.00023
    This article belongs to the special issue Deep Learning Methods and Applications for Biomedical Imaging
    View:1251
    Download:99
    Times Cited: 0
    Open Access
    Original Article
    Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors
    Aim: This study aimed to identify and analyze the top 100 most cited digital health and mobile health (m-health) publications. It could aid researchers in the identification of promising new rese [...] Read more.
    Andy Wai Kan Yeung ... Atanas G. Atanasov
    Published: April 22, 2024 Explor Digit Health Technol. 2024;2:86–100
    DOI: https://doi.org/10.37349/edht.2024.00013
    View:6625
    Download:364
    Times Cited: 0
    Open Access
    Perspective
    Turbulence at Twitter with leadership change: implications for health research and science communication
    Twitter has been an invaluable social media platform for scientists to share research and host discourse among academics and the public. The change of ownership at Twitter has changed how scientists [...] Read more.
    Ronan Lordan, Hari Prasad Devkota
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:4–10
    DOI: https://doi.org/10.37349/edht.2023.00002
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:5886
    Download:315
    Open Access
    Original Article
    Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
    Aim: This study investigates the potential of artificial intelligence (AI) in revolutionizing healthcare insurance claim processing in the USA. It aims to determine the most effective machine lea [...] Read more.
    Ashrafe Alam, Victor R. Prybutok
    Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
    DOI: https://doi.org/10.37349/edht.2024.00009
    This article belongs to the special issue Data-informed Decision Making in Healthcare
    View:5523
    Download:316
    Open Access
    Commentary
    Identifying children’s environmental health risks, needs, misconceptions, and opportunities for research translation using social media
    As part of the Advancing Science, Practice, Programming, and Policy in Research Translation for Children’s Environmental Health (ASP3IRE) center, machine learning, geographic information systems ( [...] Read more.
    Andrew Larkin ... Perry Hystad
    Published: April 08, 2024 Explor Digit Health Technol. 2024;2:59–66
    DOI: https://doi.org/10.37349/edht.2024.00011
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:4440
    Download:233
    Open Access
    Systematic Review
    Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults
    Background: The increase in powerful computers and technological devices as well as new forms of data analysis such as machine learning have resulted in the widespread availability of data scienc [...] Read more.
    Ard Hendriks ... Sil Aarts
    Published: April 12, 2024 Explor Digit Health Technol. 2024;2:67–85
    DOI: https://doi.org/10.37349/edht.2024.00012
    This article belongs to the special issue Data-informed Decision Making in Healthcare
    View:4148
    Download:238
    Times Cited: 0
    Open Access
    Editorial
    Exploration of Digital Health Technologies
    Atanas G. Atanasov
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:1–3
    DOI: https://doi.org/10.37349/edht.2023.00001
    View:4141
    Download:253
    Open Access
    Original Article
    Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors
    Aim: This study aimed to identify and analyze the top 100 most cited digital health and mobile health (m-health) publications. It could aid researchers in the identification of promising new rese [...] Read more.
    Andy Wai Kan Yeung ... Atanas G. Atanasov
    Published: April 22, 2024 Explor Digit Health Technol. 2024;2:86–100
    DOI: https://doi.org/10.37349/edht.2024.00013
    View:6625
    Download:364
    Times Cited: 0
    Open Access
    Original Article
    Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
    Aim: This study investigates the potential of artificial intelligence (AI) in revolutionizing healthcare insurance claim processing in the USA. It aims to determine the most effective machine lea [...] Read more.
    Ashrafe Alam, Victor R. Prybutok
    Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
    DOI: https://doi.org/10.37349/edht.2024.00009
    This article belongs to the special issue Data-informed Decision Making in Healthcare
    View:5523
    Download:316
    Open Access
    Perspective
    Turbulence at Twitter with leadership change: implications for health research and science communication
    Twitter has been an invaluable social media platform for scientists to share research and host discourse among academics and the public. The change of ownership at Twitter has changed how scientists [...] Read more.
    Ronan Lordan, Hari Prasad Devkota
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:4–10
    DOI: https://doi.org/10.37349/edht.2023.00002
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:5886
    Download:315
    Open Access
    Letter to the Editor
    Warning: Artificial intelligence chatbots can generate inaccurate medical and scientific information and references
    The use of generative artificial intelligence (AI) chatbots, such as ChatGPT and YouChat, has increased enormously since their release in late 2022. Concerns have been raised over the potential of c [...] Read more.
    Catherine L. Clelland ... James D. Clelland
    Published: January 10, 2024 Explor Digit Health Technol. 2024;2:1–6
    DOI: https://doi.org/10.37349/edht.2024.00006
    View:3843
    Download:260
    Times Cited: 0
    Open Access
    Editorial
    Exploration of Digital Health Technologies
    Atanas G. Atanasov
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:1–3
    DOI: https://doi.org/10.37349/edht.2023.00001
    View:4141
    Download:253
    Open Access
    Letter to the Editor
    Harnessing the untapped potential of digital twin technology in digital public health interventions
    Digital technologies have garnered more attention in this epoch of public health emergencies like coronavirus disease 2019 (COVID-19) and monkeypox (mpox). Digital twin (DT) is the virtual cyberneti [...] Read more.
    Salman Khan ... ArunSundar MohanaSundaram
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:11–16
    DOI: https://doi.org/10.37349/edht.2023.00003
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:3490
    Download:241
    Open Access
    Editorial
    Exploration of Digital Health Technologies
    Atanas G. Atanasov
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:1–3
    DOI: https://doi.org/10.37349/edht.2023.00001
    View:4141
    Download:253
    Open Access
    Perspective
    Turbulence at Twitter with leadership change: implications for health research and science communication
    Twitter has been an invaluable social media platform for scientists to share research and host discourse among academics and the public. The change of ownership at Twitter has changed how scientists [...] Read more.
    Ronan Lordan, Hari Prasad Devkota
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:4–10
    DOI: https://doi.org/10.37349/edht.2023.00002
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:5886
    Download:315
    Open Access
    Letter to the Editor
    Harnessing the untapped potential of digital twin technology in digital public health interventions
    Digital technologies have garnered more attention in this epoch of public health emergencies like coronavirus disease 2019 (COVID-19) and monkeypox (mpox). Digital twin (DT) is the virtual cyberneti [...] Read more.
    Salman Khan ... ArunSundar MohanaSundaram
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:11–16
    DOI: https://doi.org/10.37349/edht.2023.00003
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:3490
    Download:241
    Open Access
    Perspective
    Science communication on X (formerly Twitter): A picture is worth a thousand characters?
    X (formerly Twitter), a microblogging social media platform, is being used by scientists and researchers to disseminate their research findings and promote the visibility of their work to the public [...] Read more.
    Himel Mondal ... Harald Willschke
    Published: November 28, 2023 Explor Digit Health Technol. 2023;1:28–34
    DOI: https://doi.org/10.37349/edht.2023.00005
    View:3439
    Download:223
    Open Access
    Original Article
    System for classifying antibody concentration against severe acute respiratory syndrome coronavirus 2 S1 spike antigen with automatic quick response generation for integration with health passports
    Aim: After the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic and the realization of mass vaccination against the virus, the availability of a reliable, rapid, and easy-to- [...] Read more.
    Apostolos Apostolakis ... Spyridon Kintzios
    Published: February 28, 2024 Explor Digit Health Technol. 2024;2:20–29
    DOI: https://doi.org/10.37349/edht.2024.00008
    This article belongs to the special issue Biosensors for Bioactive Molecules
    View:3311
    Download:239
    Open Access
    Original Article
    Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms
    Aim: This study investigates the potential of artificial intelligence (AI) in revolutionizing healthcare insurance claim processing in the USA. It aims to determine the most effective machine lea [...] Read more.
    Ashrafe Alam, Victor R. Prybutok
    Published: February 28, 2024 Explor Digit Health Technol. 2024;2:30–45
    DOI: https://doi.org/10.37349/edht.2024.00009
    This article belongs to the special issue Data-informed Decision Making in Healthcare
    View:5523
    Download:316
    Special Issues
    From the Editor-in-Chief
    It gives me a great pleasure to announce the launching of Exploration of Digital Health Technologies (EDHT), an open access journal published by Open Exploration Publishing in the field of digital health. The aim of the journal will be to attract high-quality global research contributions from scientists working on different aspects related to digital technologies with biomedical relevance worldwide. The open access publishing model ensures high visibility of the works published in the journal, and focused effort of the journal team will be allocated for the wide dissemination of the published works both within the scientific community and the general public. Within the original works published in the journal, special attention will be given to critical discussion of findings by the authors and to providing of sufficient information to ensure research reproducibility. A rigorous peer-review process involving an international expert Editorial Board has been established to ensure the high-quality standard required for publication in Exploration of Digital Health Technologies (EDHT).
    Atanas G. Atanasov
    Editor-in-Chief of Exploration of Digital Health Technologies