This research explores how Large Language Models can transform personalized health interventions by automatically delivering contextual support when patients need it most.

• Evaluates LLMs' ability to trigger and personalize Just-in-Time Adaptive Interventions (JITAIs) for cardiac rehabilitation patients
• Demonstrates how AI can replace traditional rule-based systems with more flexible, scalable intervention delivery
• Shows potential for dramatically improving personalization in digital health applications
• Includes validation from healthcare professionals on intervention quality

This breakthrough matters for healthcare because it addresses critical scalability limitations in current systems while maintaining clinical relevance, potentially making personalized digital health support accessible to more patients with chronic conditions.

The Last JITAI? Exploring Large Language Models for Issuing Just-in-Time Adaptive Interventions