From general-purpose models to purpose-built artificial intelligence systems for health economic modeling.
This review examines current applications of LLMs to health economic modeling in terms of reproducibility, validation, adaptability, and technology readiness and concludes that near-term gains are augmenting human modelers on decomposed, verifiable sub-tasks rather than pursuing autonomous end-to-end modeling.