From Unstructured Notes to Actionable Insights: LLMs for Medical Cannabis Data Extraction
Talk description Medicinal cannabis use is widespread but poorly captured in electronic health records and rarely structured enough to support research. This talk will present our efforts to address that gap by applying large language models to millions of clinical notes, extracting structured data on cannabis use patterns, indications, and outcomes. The focus will be […]

