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MIT experts develop AI models that can detect pancreatic cancer early
Researchers at MIT’s CSAIL division built two machine learning algorithms that can detect pancreatic cancer at a higher threshold than current diagnostic standards.
Researchers at MIT’s CSAIL division, which focuses on computer engineering and AI development, built two machine learning algorithms that can detect pancreatic cancer at a higher threshold than current diagnostic standards. Collectively, the model works to predict the probability of cancer by analyzing electronic health record data in tandem with things like a patient’s age and certain risk factors evident in their lifestyle. The continued development of AI models that can predict cancer probability will not only improve outcomes for patients if malignancy is identified earlier, it will also lessen the workload of overworked medical professionals.
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