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March 3, 2026BMC Public Health6 citationsOpen Access

Generative AI and health misinformation: production, propagation, and mitigation—a systematic review

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HSHamid Reza SaeidniaSJShamim JahaniNGNasrin Ghiasi

Key Points

  • Generative AI significantly alters the landscape of health misinformation, making content creation easier and more widespread.
  • Current mitigation strategies show promise, yet they are still in early stages and need more thorough evaluation across different contexts.
  • Assessment includes technical, sociotechnical, and governance approaches to managing misinformation effectively.
  • Future interventions should focus on real-world testing and developing health-specific verification methods, especially for diverse audiences.

Abstract

Generative AI transforms the health misinformation landscape by lowering barriers to creation and exploiting platform and behavioral dynamics. Current mitigation strategies-spanning technical, sociotechnical, and governance layers-are promising but remain nascent and unevenly evaluated. Future work must prioritize multimodal, multilingual, and health‑specific verification, as well as real‑world testing of interventions, to build equitable and resilient health information ecosystems.

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Cite This Study

Saeidnia et al. (2026) studied this question.

synapsesocial.com/papers/69a75c0cc6e9836116a24714https://doi.org/10.1186/s12889-025-26148-9
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