Mobile health in the management of chronic care: A new era with the advent of generative Artificial Intelligence

Hosseiniravandi, Mohammad; Sheykhotayefeh, Mostafa; Khodaveisi, Taleb

Volume 13, Issue 3 (9-2025) jmsthums 2025, 13(3): 78-92 | Back to browse issues page

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Hosseiniravandi M, Sheykhotayefeh M, Khodaveisi T. Mobile health in the management of chronic care: A new era with the advent of generative Artificial Intelligence. jmsthums 2025; 13 (3) :78-92
URL: http://jms.thums.ac.ir/article-1-1427-en.html

Mobile health in the management of chronic care: A new era with the advent of generative Artificial Intelligence

Mohammad Hosseiniravandi¹

, Mostafa Sheykhotayefeh¹

, Taleb Khodaveisi²

1- Department of Health Information Technology, School of Allied Medical Sciences, Torbat Heydariyeh University of Medical Sciences, Torbat Heydariyeh, Iran
2- Department of Health Information Technology, School of Allied Medical Sciences, Hamadan University of Medical Sciences, Hamadan, Iran

Abstract: (26 Views)

Background & Aim: Unlike discriminative artificial intelligence models, generative models possess the ability to create novel instances and creative responses. This unique feature could herald a new era in mobile health, significantly enhancing the capabilities for chronic disease management. The aim of this study is to examine the impact of the emergence of generative AI in the field of mobile health, focusing on the current status and associated challenges.
Methods: This narrative review was conducted through a search of PubMed, Scopus, and Google Scholar databases for the years 2019–2024. A combination of keywords related to three main concepts—mobile health, chronic diseases, and generative artificial intelligence—was used according to each database’s search standards. Inclusion criteria consisted of English-language articles focused on adults (aged 18 and above) and studies addressing the role of generative AI in managing chronic diseases within mobile health applications.
Results: Out of 1,268 initially identified articles, 39 relevant studies were selected and analyzed. The findings indicated that integrating generative AI into mobile health facilitates early disease diagnosis and empowers patients with advanced self-management tools and improved access to health resources. Moreover, such approaches are cost-effective, reduce healthcare expenses, and increase accessibility, particularly among underserved populations. However, challenges remain, including concerns about data privacy, algorithmic bias, equity in benefit distribution, ethical issues, and technological complexity.
Conclusion: Generative artificial intelligence holds great potential for improving chronic disease management through mobile health technologies. Continued research and close collaboration among healthcare providers, technology experts, and regulatory organizations are essential. Enhancing care quality and patient health depends on addressing existing challenges and overcoming current barriers.

Keywords: Mobile health, mobile Technology, Artificial Intelligence, Generative artificial intelligence, Chronic disease management

Full-Text [PDF 289 kb] (57 Downloads)

Type of Study: Applicable | Subject: Special
Received: 2025/03/10 | Accepted: 2025/08/4 | Published: 2025/11/17

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