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Privacy-preserving LLMs can rival proprietary models in clinical NLP, achieving competitive performance without compromising patient data.
Clinicians trust AI recommendations nearly 3x more when those recommendations are broken down into verifiable facts linked to source guidelines, blowing traditional explainability out of the water.
You don't need a cloud to ask EHRs questions: surprisingly competitive clinical question answering is possible with commodity hardware and local models.
