microsoft/clinical-self-verification
Self-verification for LLMs.
This project helps clinical researchers and healthcare professionals extract specific patient information from unstructured clinical text, like medical notes or research papers. It takes raw clinical text as input and identifies key pieces of information, along with explanations of where that information came from in the text. This is designed for those who need to quickly and accurately pull data for decision-making or research.
No commits in the last 6 months.
Use this if you need to extract precise clinical details from patient records or medical literature with improved accuracy and a clear audit trail of where the information came from.
Not ideal if you are looking for a tool to generate new clinical text or summarize large documents without needing specific data points and their provenances.
Stars
67
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10
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 22, 2023
Commits (30d)
0
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