Kit Ying Chan

Exploring generalizability and explainability of LLMs in classifying clinically rated suicidal ideation using heterogeneous data

Abstract While artificial intelligence (AI) and large language models (LLMs) have shown promise in identifying and classifying suicidal ideation, their generalizability and equity in the presence of heterogeneous clinical data remain largely unexplored. This study hypothesized a...