AI Models Show Promise for Earlier Detection of Pancreatic Cancer Risk
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Researchers developed two AI models, PRISM and PrismLR, to predict risk of pancreatic cancer using patient electronic health records. The models outperformed existing methods.
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The models were trained on data from over 5 million patients, making them more reliable and generalizable across diverse populations.
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Key indicators used by the models match physicians' understanding of risk factors, making the models more interpretable.
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Next steps are to expand the models to international datasets and integrate additional biomarkers to further refine risk assessment.
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The goal is to integrate the models into healthcare systems to alert physicians to high-risk patients and enable early intervention.