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

New Methods (1134) Artificial Intelligence (2129) Machine Learning (2076) Natural Language Processing (917) Mass Media/Social Media Communication and Campaigns (574) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infodemic Management (60) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139)

Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28858, first published .
Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

Authors of this article:

Ralf Schmälzle1 Author Orcid Image ;   Shelby Wilcox1 Author Orcid Image
Article Authors Cited by (26) Tweetations (5) Metrics

Journals

  1. Braga D, Oliveira D, Rosário R, Novais P, Machado J. An Architecture Proposal for Noncommunicable Diseases Prevention. Procedia Computer Science 2023;220:820 View
  2. Lim S, Schmälzle R. Exploring the mechanisms of AI message generation: A chatbot development activity for students. Communication Teacher 2024;38(1):21 View
  3. Lim S, Schmälzle R. Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering. Frontiers in Communication 2023;8 View
  4. Zhang H, Pan J, Jiang H, Xiong X, Huang L, Liu X, Wangzi W, Chen L. A study on the correlation between MTHFR and folic acid combined with trace elements for the prevention of fetal malformations in the first trimester of pregnancy. Medicine 2023;102(44):e35330 View
  5. Addo-Lartey A, Bonful H, Sefenu R, Abagre T, Asamoah A, Bandoh D, Awua A, Adu-Aryee N, Dedey F, Adanu R, Okuyemi K. Effectiveness of a culturally tailored text messaging program for promoting cervical cancer screening in accra, Ghana: a quasi-experimental trial. BMC Women's Health 2024;24(1) View
  6. Lim S, Schmälzle R. The effect of source disclosure on evaluation of AI-generated messages. Computers in Human Behavior: Artificial Humans 2024;2(1):100058 View
  7. Haltaufderheide J, Ranisch R. The ethics of ChatGPT in medicine and healthcare: a systematic review on Large Language Models (LLMs). npj Digital Medicine 2024;7(1) View
  8. Clay T, Da Custodia Steel Z, Jacobs C. Human-Computer Interaction: A Literature Review of Artificial Intelligence and Communication in Healthcare. Cureus 2024 View
  9. Weingott S, Parkinson J. The application of artificial intelligence in health communication development: A scoping review. Health Marketing Quarterly 2025;42(1):67 View
  10. Tu Y, Jiang S, An Y, Yang Z. AI vs. Human vs. AI+Human: A Study on Consumer Perceived Novelty of Works Created by Different Entities. SSRN Electronic Journal 2024 View
  11. Wiśniewska J, Matysik S. The application of OpenAI Technology in Marketing Activities - A Systematic Literature Review. Journal of Modern Science 2024;60(6):392 View
  12. Hussain S, Schmälzle R, Lim S, Bouali N. Comparing AI and human-generated health messages in an Arabic cultural context. Global Health Action 2025;18(1) View
  13. Yeganegi M, Danaei M, Azizi S, Jayervand F, Bahrami R, Dastgheib S, Rashnavadi H, Masoudi A, Shiri A, Aghili K, Noorishadkam M, Neamatzadeh H. Research advancements in the Use of artificial intelligence for prenatal diagnosis of neural tube defects. Frontiers in Pediatrics 2025;13 View
  14. Abdel-Khalek S, Algarni A, Amoudi G, Alkhalaf S, Alhomayani F, Kathiresan S. Leveraging AI-Generated Content for Synthetic Electronic Health Record Generation With Deep Learning-Based Diagnosis Model. IEEE Transactions on Consumer Electronics 2025;71(1):1363 View
  15. Leung J, Sun T, Stjepanović D, Vu G, Yimer T, Connor J, Hall W, Chan G. Generative Artificial Intelligence With Youth Codesign to Create Vaping Awareness Advertisements. JAMA Network Open 2025;8(7):e2514040 View
  16. Sun T, Chan G, Stjepanović D, Yimer T, Vu G, Lim C, McClure‐Thomas C, Russel C, Connor J, Hall W, Hides L, Hammond D, Dietrich T, Erku D, Johnson B, Leung J. Co‐Designing AI‐Generated Vaping Awareness Materials With Adolescents and Young Adults: A Qualitative Study. Drug and Alcohol Review 2026;45(1) View
  17. Schmälzle R, Lim S. From blank page to campaign plan: Using the campAIgnR AI tool to scaffold public communication campaign design. Communication Teacher 2025:1 View
  18. Griffin A, Javier S, Golding M, Runnels T, Matthias M, Shimada S, Higgins D, Zulman D, Midboe A. Designing Patient-Friendly Messages: Tutorial on Applying Human-Centered, Self-Determination Theory With AI Considerations. Journal of Medical Internet Research 2025;27:e78173 View
  19. Matthes J, Vranken S. The end of experimental research as we know it? A perspective on generative artificial intelligence in communication science. Communication and Change 2025;1(1) View
  20. Merl N, Schramm F, Wies C, Winterstein J, Brinker T. Generative AI in social media health communication: systematic review and meta-analysis of user engagement with implications for cancer prevention. European Journal of Cancer 2026;232:116114 View

Books/Policy Documents

  1. Ahmad M, Zahid R, Khan K. Generative AI and Implications for Ethics, Security, and Data Management. View
  2. Ang C, Lee K. Navigating Health Information in the Age of Artificial Intelligence. View

Conference Proceedings

  1. Capel T, Brereton M. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. What is Human-Centered about Human-Centered AI? A Map of the Research Landscape View
  2. Harmon S. Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. Can AI Help Inspire Healthy Eating? Exploring the Potential of Generated Motivational Texts and Images Related to Healthy Food Choices View
  3. Calle P, Shao R, Liu Y, Hébert E, Kendzor D, Neil J, Businelle M, Pan C. Proceedings of the CHI Conference on Human Factors in Computing Systems. Towards AI-Driven Healthcare: Systematic Optimization, Linguistic Analysis, and Clinicians’ Evaluation of Large Language Models for Smoking Cessation Interventions View
  4. Lee C, Lee M, Mutlu B. Designing Interactive Systems Conference. The AI-DEC: A Card-based Design Method for User-centered AI Explanations View