MIT experts develop AI models that can detect pancreatic cancer early

Researchers at MIT’s CSAIL have developed a machine learning algorithm, “PRISM,” which can detect pancreatic cancer at a higher threshold than current diagnostic standards.

PRISM was programmed based on access to diverse sets of real electronic health records from health institutions across the US, using the data of over 5 million patient’s electronic health records to surpass the scale of information fed to an AI model in this particular area of research.

MIT has previously worked on AI models to predict cancer risk and the continued development of AI models in diagnostics will not only improve outcomes for patients but also lessen the workload of medical professionals.