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A recent study revealed that artificial intelligence can predict the risk of pancreatic cancer five years before diagnosis by analyzing routine health data, test results, and medical examinations. Researchers from Mayo Clinic developed a model based on long-term data from approximately 40,000 individuals, which achieved a high predictive performance of 0.853 when assessing risk five years in advance. The model leverages patterns in blood tests and health history, such as diabetes and pancreatitis. However, it is not yet a diagnostic tool and will undergo future testing to ensure its effectiveness across diverse healthcare systems, aiming to improve early detection and treatment outcomes.
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