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Pancreatic cancer risk prediction using deep sequential modeling of longitudinal diagnostic and medication records
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DOI：10.1016/j.xcrm.2025.102359.png)
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Abstract
En 中文
• PDAC survival is low when diagnosed late, making risk prediction tools very useful • AI trained on large-scale EHR diagnosis and medication data improves PDAC risk prediction • Results show significant SIR improvements in high-risk cohorts • Model interpretation highlights clinical risk factors guiding predictions
Keywords:
pancreatic cancer
risk stratification
deep learning for healthcare
machine learning for healthcare
AI for medicine
early detection of cancer
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