Language models for drug-drug interactions: current applications, pitfalls, and future directions

Introduction Advanced artificial intelligence (AI) frameworks particularly, large language models (LLMs) have recently attracted attention for automating Drug – drug interactions (DDIs) extraction and prediction tasks. However, there is a scarcity of reviews on how LLMs can rapidly identify known and novel DDIs.