A recent AI discovery could assist in detecting the most prevalent type of pancreatic cancer, research shows. It is difficult to identify pancreatic cancer due to its concealed location and the lack of symptoms in the early stages. The goal of the study was to create a model capable of detecting PDAC risk, and the team’s AI system outperformed current diagnostic standards. By analyzing existing electronic health records, the researchers created a system called PRISM, which consists of two AI models. The models were able to evaluate patient risk every 90 days, and preliminary results show substantial improvement in identifying high-risk individuals. There is hope that the new model will work across organizations, not just a specific one, and soon could be used in clinical practice to save lives.
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