Assessing large language models for acute heart failure classification and information extraction from French clinical notes

Understanding acute heart failure (AHF) remains a significant challenge, as many clinical details are recorded in unstructured text rather than structured data in electronic health records (EHRs). In this study, we explored the use of large language models (LLMs) to automatically identify AHF hos…