• 13 results in Exploration of Digital Health Technologies
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    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:3315
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    Times Cited: 0
    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:2188
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    Times Cited: 0
    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
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    Times Cited: 0
    Open Access
    Review
    Breathing tech: digital health innovations for managing asthma-related psychological dimensions
    The paper aimed to provide a comprehensive overview of the use of digital health technologies in the assessment, treatment, and self-management of psychological and psychopathological factors associ [...] Read more.
    Mirko Casu, Pasquale Caponnetto
    Published: March 28, 2024 Explor Digit Health Technol. 2024;2:46–58
    DOI: https://doi.org/10.37349/edht.2024.00010
    This article belongs to the special issue Telepsychiatry in Low-and Middle-income Countries: an Update
    View:2135
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    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:1894
    Download:172
    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:1646
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    Open Access
    Original Article
    Functionality and feasibility of cognitive function training via mobile health application among youth at risk for psychosis
    Aim: Mobile health applications (MHAs) have been rapidly designed and urgently need evaluation. Existing evaluation methods, such as platform, development, and subjective overall user observation [...] Read more.
    Huijun Li ... Jijun Wang
    Published: February 27, 2024 Explor Digit Health Technol. 2024;2:7–19
    DOI: https://doi.org/10.37349/edht.2024.00007
    View:1337
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    Times Cited: 0
    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:2264
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    Times Cited: 0
    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:1752
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    Times Cited: 0
    Open Access
    Protocol
    Envisioning urban environments resilient to vector-borne diseases: a protocol to study dengue in Vietnam
    Transmitted primarily by Aedes aegypti (Ae. aegypti) and Aedes albopictus (Ae. albopictus), arboviral diseases pose a major global public health threat. Dengue, chikungunya, and Zika are increasingl [...] Read more.
    Praveen Kumar ... Andrew W. Taylor-Robinson
    Published: November 01, 2023 Explor Digit Health Technol. 2023;1:17–27
    DOI: https://doi.org/10.37349/edht.2023.00004
    View:1681
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    Times Cited: 0