Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models
This work demonstrates that LLMs can be used to automatically transform natural language NICE guidelines into interpretable and executable models that preserve guideline structure, allow transparent inspection and modification, and can be executed to generate patient‐specific recommendations.
Ashvin Gupta, D. Prociuk, Alessandra Russo et al.
· Learning Health Systems · 0 citations