Machine Learning Models for Pancreatic Cancer Risk Prediction Using Electronic Health Record Data - A Systematic Review and Assessment.

AI/ML models for PC risk prediction using known risk factors perform reasonably well and may have near-term applications in identifying cohorts for targeted PC screening if validated in real-world data sets. The combined use of structured and unstructured EHR data using emerging language models while incorporating explainable-AI techniques has the potential to identify novel PC risk factors and this approach merits further study.