How to design digital health interventions with artificial intelligence: A scoping review - Takeaways - MDSpire
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Developing AI-Driven Digital Health Solutions: A Comprehensive Scoping Review

  • By

  • Shuimei Liu

  • L. Raymond Guo

  • September 12, 2026

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  • 1

    Digital health interventions face challenges in engagement, attrition, and adaptation to diverse patient needs despite significant investment.

  • 2

    The emergence of Generative AI and Large Language Models is transforming the development of digital health tools by enabling AI to act as a design collaborator.

  • 3

    Current frameworks for assessing AI in healthcare focus on deployed models, leaving the AI-augmented design process insufficiently understood.

  • 4

    This systematic scoping review aims to characterize AI-driven design methodologies and identify gaps in the existing literature.

  • 5

    Inclusion criteria for the review emphasize AI's role as a design agent and the necessity of human validation in the design process.

Original Source(s)

How to design digital health interventions with artificial intelligence: A scoping review

  • by Shuimei Liu, L. Raymond Guo

  • September 12, 2026

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