Session (CTI)

This session highlights next-generation methods that integrate artificial intelligence into economic evaluation and HTA workflows while maintaining transparency and decision relevance. Presentations span benchmarking large language models for model input curation, human-governed agentic AI approaches to health economic modeling, and a systematic assessment of methodological gaps in evaluating the value of AI in healthcare. The session concludes with an applied case study demonstrating AI-assisted real-time evidence synthesis to support PICO development for European Joint Clinical Assessment. Together, these presentations illustrate how AI can enhance HTA processes when accompanied by appropriate methodological safeguards.