[HTML][HTML] Mobile health apps on COVID-19 launched in the early days of the pandemic: content analysis and review
LC Ming, N Untong, NA Aliudin, N Osili… - JMIR mHealth and …, 2020 - mhealth.jmir.org
Background Mobile health (mHealth) app use is a major concern because of the possible
dissemination of misinformation that could harm the users. Particularly, it can be difficult for …
dissemination of misinformation that could harm the users. Particularly, it can be difficult for …
Artificial intelligence and public health: evaluating ChatGPT responses to vaccination myths and misconceptions
G Deiana, M Dettori, A Arghittu, A Azara, G Gabutti… - Vaccines, 2023 - mdpi.com
Artificial intelligence (AI) tools, such as ChatGPT, are the subject of intense debate regarding
their possible applications in contexts such as health care. This study evaluates the …
their possible applications in contexts such as health care. This study evaluates the …
Conceptualizing psychological well‐being as a dynamic process: Implications for research on mobile health interventions
S Heshmati, C Muth, RW Roeser… - Social and …, 2024 - Wiley Online Library
We introduce a theoretical framework for conceptualizing Psychological Well‐Being (PWB)
as a process that unfolds over short and longer time‐scales. We argue that this framework …
as a process that unfolds over short and longer time‐scales. We argue that this framework …
Health communication in COVID-19 era: Experiences from the Italian VaccinarSì network websites
A Arghittu, M Dettori, E Dempsey, G Deiana… - International Journal of …, 2021 - mdpi.com
In 2013, in a bid to combat Vaccine Hesitancy (VH) and provide information on vaccines by
communicating with the general public and the health community (eg, healthcare workers …
communicating with the general public and the health community (eg, healthcare workers …
[HTML][HTML] Web-based analysis on the role of Digital Media in Health Communication: The experience of VaccinarSinSardegna Website
A Arghittu, G Deiana, M Dettori… - Acta Bio Medica …, 2021 - ncbi.nlm.nih.gov
Methods: Various metrics such as the number of visits to the site (sessions, number of users
and average session duration), user behaviour (pages viewed, bounce rate and organic …
and average session duration), user behaviour (pages viewed, bounce rate and organic …
AI-powered personalized mobile education for New Zealand students
F Charles - International Journal Software Engineering and …, 2023 - journal.lembagakita.org
This research aims to develop and evaluate a personalized mobile education system for
New Zealand students, utilizing AI and UCD principles. The system will address the limited …
New Zealand students, utilizing AI and UCD principles. The system will address the limited …
Factors associated with the adoption of health apps: Evidence from emerging economies
The study identifies the influencing factors in adoption of mobile health apps in the context of
the emerging economies, specifically India. Suitable constructs from the theoretical models …
the emerging economies, specifically India. Suitable constructs from the theoretical models …
[HTML][HTML] Efficacy of an mHealth App to Support Patients' Self-Management of Hypertension: Randomized Controlled Trial
Background Hypertension is a significant global disease burden. Mobile health (mHealth)
offers a promising means to provide patients with hypertension with easy access to health …
offers a promising means to provide patients with hypertension with easy access to health …
The role of ethics in technology acceptance: analysing resistance to new health technologies on the example of a COVID-19 contact-tracing app
N Lin-Hi, L Haensse, L Hollands… - Journal of Decision …, 2024 - Taylor & Francis
New health technologies promise enormous benefits for human wellbeing, yet their diffusion
is often inhibited by potential users' uncertainty about their consequences. Since ethics help …
is often inhibited by potential users' uncertainty about their consequences. Since ethics help …
Algorithm aversion to mobile clinical decision support among clinicians: a choice-based conjoint analysis
S Bankuoru Egala, D Liang - European Journal of Information …, 2023 - Taylor & Francis
Artificial intelligence has pervaded clinical decision support systems driven by algorithms. In
healthcare, algorithmic decision-making is said to outperform clinicians in their treatment …
healthcare, algorithmic decision-making is said to outperform clinicians in their treatment …