This paper is in the following e-collection/theme issue:

Theme Issue: ChatGPT and Generative Language Models in Medical Education (102) Artificial Intelligence (1750) Chatbots and Conversational Agents (636) Generative Language Models Including ChatGPT (503)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48949, first published .
Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach

Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach

Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach

Authors of this article:

Guido Giunti1, 2, 3 Author Orcid Image ;   Colin P Doherty1, 3, 4 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Journals

  1. Luo X, Chen F, Zhu D, Wang L, Wang Z, Liu H, Lyu M, Wang Y, Wang Q, Chen Y. Potential Roles of Large Language Models in the Production of Systematic Reviews and Meta-Analyses. Journal of Medical Internet Research 2024;26:e56780 View
  2. Jongkind R, Elings E, Joukes E, Broens T, Leopold H, Wiesman F, Meinema J. Is your curriculum GenAI-proof? A method for GenAI impact assessment and a case study. MedEdPublish 2025;15:11 View
  3. Scherbakov D, Hubig N, Jansari V, Bakumenko A, Lenert L. The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review. Journal of the American Medical Informatics Association 2025;32(6):1071 View
  4. Blohm I, Miranda S, Ho S, Leimeister J. Next-generation IS research methods – towards a better understanding of complex and dynamic phenomena … and generative AI as the elephant in the room. Journal of Information Technology 2025 View