Dynamic prompting helps LLMs predict cancer outcomes from EHR notes
Dynamic prompting offers an alternative to fine-tuning for clinical prediction, letting teams adapt general-purpose LLMs to patient records with prompt engineering alone. Researchers and data scientists in healthcare can test the method on their own EHR text without training custom models. The study appears in npj Digital Medicine, a journal accessible to medical AI practitioners worldwide.