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Found 2 papers, 1 papers with code
Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study
Augmentations were evaluated for errors by clinicians, and we found misleading errors occur, with errors more common in real donated notes than synthetic notes, illustrating the importance of carefully written clinical notes.
Robust Benchmarking for Machine Learning of Clinical Entity Extraction
We reformulate the annotation framework for clinical entity extraction to factor in these issues to allow for robust end-to-end system benchmarking.
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