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Exploring Medical Use Cases with Large Language Models
The speaker discusses using Large Language Models (LLMs) to analyze de-identified clinical notes for various medical use cases like understanding why patients switched medications, identifying side effects, and investigating reasons for missed follow-up studies. By leveraging de-identified data that has already been certified, they have been able to explore these use cases with open AI and have published multiple preprints showcasing their findings.