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  • 39 results in Exploration of Digital Health Technologies
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    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:2804
    Download:175
    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:2765
    Download:181
    Open Access
    Review
    Digital twin technology training and research in health higher education: a review
    Healthcare strives to ensure overall physical, mental, and emotional well-being for individuals while managing limited resources efficiently. Digital technologies can offer cost reduction, improved  [...] Read more.
    Jyri Rajamäki
    Published: August 05, 2024 Explor Digit Health Technol. 2024;2:188–201
    DOI: https://doi.org/10.37349/edht.2024.00021
    This article belongs to the special issue Data-informed Decision Making in Healthcare
    View:2681
    Download:170
    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:2681
    Download:163
    Times Cited: 0
    Open Access
    Original Article
    Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data
    Aim: COVID-19 has affected more than 223 countries worldwide and in the post-COVID era, there is a pressing need for non-invasive, low-cost, and highly scalable solutions to detect COVID-19. This [...] Read more.
    Yuyang Yan ... Visara Urovi
    Published: August 11, 2024 Explor Digit Health Technol. 2024;2:202–217
    DOI: https://doi.org/10.37349/edht.2024.00022
    This article belongs to the special issue Data-informed Decision Making in Healthcare
    View:2266
    Download:147
    Open Access
    Review
    Teledentistry in the detection of oral potentially malignant disorders and oral cancer in the Latin American region: a review of literature with current possibilities
    Teledentistry has emerged as a promising tool in bridging the gap in healthcare accessibility, particularly in regions like Latin America region, where resources for oral healthcare are often limite [...] Read more.
    Caique Mariano Pedroso ... Alan Roger Santos-Silva
    Published: October 22, 2024 Explor Digit Health Technol. 2024;2:291–301
    DOI: https://doi.org/10.37349/edht.2024.00029
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:1870
    Download:148
    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:1860
    Download:143
    Times Cited: 0
    Open Access
    Perspective
    Advancing digital health in Yemen: challenges, opportunities, and way forward
    The health sector in Yemen has experienced significant challenges due to prolonged conflict and suboptimal governance, making the development of digital health (DH) crucial. This study highlights th [...] Read more.
    Omar Abdulkarim Saeed Alhammadi ... Olalekan John Okesanya
    Published: November 25, 2024 Explor Digit Health Technol. 2024;2:369–386
    DOI: https://doi.org/10.37349/edht.2024.00035
    View:1750
    Download:139
    Times Cited: 0
    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:1739
    Download:138
    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:1715
    Download:135
    Times Cited: 0
    Open Access
    Perspective
    Revolutionizing healthcare in Somalia: the role of digital innovations in enhancing access and quality
    Somalia’s healthcare system faces significant challenges, including limited infrastructure, a shortage of healthcare professionals (2.5 physicians per 10,000 people), and geographic disparities in [...] Read more.
    Mohamed Mustaf Ahmed
    Published: November 25, 2024 Explor Digit Health Technol. 2024;2:360–368
    DOI: https://doi.org/10.37349/edht.2024.00034
    View:1498
    Download:120
    Open Access
    Systematic Review
    The use of social media in plastic surgery biomedical research: scoping systematic review
    Background: Social media has become ubiquitous; its uses reach beyond connecting individuals or organizations. Many biomedical researchers have found social media to be a useful tool in recruitin [...] Read more.
    Amanda Beneat ... Alisha Oropallo
    Published: November 15, 2024 Explor Digit Health Technol. 2024;2:313–333
    DOI: https://doi.org/10.37349/edht.2024.00031
    This article belongs to the special issue Social Media Applications in Biomedical Research
    View:1461
    Download:121
    Times Cited: 0
    Open Access
    Original Article
    Assessing the accuracy and readability of ChatGPT-4 and Gemini in answering oral cancer queries—an exploratory study
    Aim: This study aims to evaluate the accuracy and readability of responses generated by two large language models (LLMs) (ChatGPT-4 and Gemini) to frequently asked questions by lay persons (the g [...] Read more.
    Márcio Diniz-Freitas ... Pedro Diz-Dios
    Published: November 19, 2024 Explor Digit Health Technol. 2024;2:334–345
    DOI: https://doi.org/10.37349/edht.2024.00032
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:1392
    Download:127
    Times Cited: 0
    Open Access
    Original Article
    AI bias in lung cancer radiotherapy
    Aim: In lung cancer research, AI has been trained to read chest radiographs, which has led to improved health outcomes. However, the use of AI in healthcare settings is not without its own set of [...] Read more.
    Kai Ding ... Yian Qi
    Published: November 12, 2024 Explor Digit Health Technol. 2024;2:302–312
    DOI: https://doi.org/10.37349/edht.2024.00030
    This article belongs to the special issue Cancer Diagnosis in the Digital Age
    View:1327
    Download:116
    Times Cited: 0
    Open Access
    Review
    Review on endoscopic capsules
    This research provided an in-depth analysis of endoscopic capsules as an innovative application of the Internet of Things (IoT) in healthcare. The study revealed the importance of these systems in a [...] Read more.
    Vasile Denis Manolescu ... Emanuele Lindo Secco
    Published: November 25, 2024 Explor Digit Health Technol. 2024;2:346–359
    DOI: https://doi.org/10.37349/edht.2024.00033
    This article belongs to the special issue Wearable Technologies and Application of Machine Learning in Healthcare
    View:1057
    Download:106
    Times Cited: 0
    Open Access
    Original Article
    Integrative strategies combining telemedicine and opportunistic screening to reduce diagnostic delays in oral cancer: a 4-year-retrospective study
    Aim: The primary aim was to develop and test a telemedicine program for oral cancer screening by dentists in primary care. The secondary aim was to analyze the sensitivity of the provisional diag [...] Read more.
    Gerardo Gilligan ... Eduardo Piemonte
    Published: January 10, 2025 Explor Digit Health Technol. 2025;3:101136
    DOI: https://doi.org/10.37349/edht.2025.101136
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:401
    Download:36
    Times Cited: 0
    Open Access
    Perspective
    Artificial intelligence driven real-time digital oral microscopy for early detection of oral cancer and potentially malignant disorders
    Confocal laser endomicroscopy (CLE) enables real-time diagnosis of oral cancer and potentially malignant disorders by in vivo microscopic tissue examination. One impediment to the widespread clinica [...] Read more.
    Simon A. Fox, Camile S. Farah
    Published: January 22, 2025 Explor Digit Health Technol. 2025;3:101138
    DOI: https://doi.org/10.37349/edht.2025.101138
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:354
    Download:27
    Times Cited: 0
    Open Access
    Original Article
    Using consumer wearables to estimate physical activity of nursing home residents with dementia
    Aim: Physical activity of nursing home residents can be assessed with tools such as questionnaires and standardized fitness tests. For residents with dementia, however, those tools can be cogniti [...] Read more.
    Daniela Gawehns ... Matthijs van Leeuwen
    Published: January 16, 2025 Explor Digit Health Technol. 2025;3:101137
    DOI: https://doi.org/10.37349/edht.2025.101137
    This article belongs to the special issue Wearable Technologies and Application of Machine Learning in Healthcare
    View:333
    Download:25
    Times Cited: 0
    Open Access
    Short Communication
    mHealth to enhance oral cancer awareness in older adults in Chile: a preliminary report
    This study aims to assess a new mobile application (app)’s efficacy in raising oral cancer awareness among older adults through educational videos and serious games. The app, named TEGO® (Tele-pl [...] Read more.
    Constanza B. Morales-Gómez ... Víctor Beltrán
    Published: January 23, 2025 Explor Digit Health Technol. 2025;3:101139
    DOI: https://doi.org/10.37349/edht.2025.101139
    This article belongs to the special issue Digital Health Technologies for the Early Detection of Oral Cancer
    View:273
    Download:18
    Times Cited: 0