Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings

Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may offer a promising avenue for early detection. We developed a predictive model using large language model (LLM)-derived embeddings of medical condition names to enhance learning from EHR data.

Recommended citation: Park, J., Patterson, J., Acitores Cortina, J.M. et al. Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddings. npj Digit. Med. 8, 465 (2025). https://doi.org/10.1038/s41746-025-01869-8
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