MIT experts develop AI models that can detect pancreatic cancer early

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. The two models together formed to create the “PRISM” neural network. It is designed to specifically detect pancreatic ductal adenocarcinoma (PDAC), the most prevalent form of pancreatic cancer.

The current standard PDAC screening criteria catches about 10 percent of cases in patients examined by professionals. In comparison, …

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