M3 uses LLMs to translate natural language into SQL for the MIMIC-IV database, achieving 93-94% accuracy on benchmark questions with support for local privacy-preserving deployment.
Mimic-iv on fhir: converting a decade of in-patient data into an exchangeable, interoperable format.Journal of the American Medical Informatics Association, 30(4):718–725, 2023
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M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis
M3 uses LLMs to translate natural language into SQL for the MIMIC-IV database, achieving 93-94% accuracy on benchmark questions with support for local privacy-preserving deployment.