JMIR Aging (2023 Impact Factor 4.9) is an open access journal that focuses on digital health, emerging technologies, and health informatics applications for preventative care, clinical care, home care, and self-management support for older adults. The journal also welcomes submissions on aging-focused big data analytics using data from electronic health record systems, health insurance databases, national administrative databases (e.g. US Medicare and Medicaid), and other large data sets.

Emerging artificial intelligence (AI) technologies, including generative AI models or systems, such as GPT-4, DALL-E 2, and Med-PALM 2, aligned to the medical domain, have the potential to revolutionize the way health care is delivered to older adults. The focus of this call for papers is to explore the potential of AI in the context of aging and the increasingly changing landscape of health care for older adults. We welcome original papers, viewpoints, and literature reviews that explore the concept, uses, effects, and special considerations of AI, particularly generative AI for older adult care.

Submissions are invited on, but not limited to, the following topics:

Using AI to enhance the care of older adults
Using AI as a tool to improve the prediction, testing, and diagnosis of age-related diseases by enhancing the quality of medical testing and imaging
The role of generative AI tools (a category of AI models and tools designed to create new content, such as ChatGPT) in facilitating communication between clinicians and patients
Development of “point-of-care,” “reminder,” or “documentation” tools using generative AI to improve clinician workflow and reduce clinician burnout
Limitations and challenges of applying generative AI technologies to age-friendly care for older adults
Need for data infrastructure, security, and regulations in generative AI applications in the care of older adults
Future directions of AI-driven, digital healthcare and medical practices for older adults.

We will not accept articles that are solely written by ChatGPT. Please refer to our emerging editorial policy regarding the use of ChatGPT in article ideation or manuscript preparation and specifically on how to disclose the use of generative tools in the manuscript. If original ChatGPT-generated text is used, it should be presented as a quote, textbox, or figure. In particular, we ask to keep the complete original ChatGPT transcripts used on file and submit them as Multimedia Appendices (or supplementary material).

All submissions will undergo a rigorous peer-review process, and accepted articles will be published under a newly introduced section for JMIR Aging called “AI in Older Adult Care.”

How to Submit

To submit an article to JMIR Aging, please visit the submission page and select the section “AI in Older Adult Care.”

Consult our Instructions for Authors for more information on how to submit a manuscript.

All articles will be shared and published rapidly through the following mechanisms:

All peer-reviewed articles will be immediately and permanently made open access. This is the standard for all titles within the JMIR Publications portfolio

Articles can be made immediately available in JMIR Preprints (with a DOI) after submission if authors select the preprint option at submission to enable this service.

Submissions not reviewed or accepted for publication in JMIR Aging may be offered cascading peer review or transfer to other JMIR Publications journals, according to standard JMIR Publications policies. For example, highly technical papers may be transferred or submitted to JMIR Biomedical Engineering. Early-stage formative work that informs the design of future interventions or research may better fit the scope for JMIR Formative Research. Authors are encouraged to submit study protocols or grant proposals to JMIR Research Protocols before data acquisition to preregister the study (Registered Reports; subsequent acceptance in one of the JMIR Publications journals is then guaranteed).

About the Journal

Indexing and Impact Factor