Suicide is a major global health challenge, accounting for a significant proportion of psychiatric emergencies. Early detection and intervention are crucial to reducing mortality, yet the unstructured nature of clinical data, particularly psychiatric admission notes, poses challenges for scalable analysis. Recent advancements in artificial intelligence (AI), specifically large language models (LLMs), present opportunities to analyse such data. By capturing nuances...