in the peer-reviewed journal Nature Medicine, researchers found that with the help of AI, they were able to identify those most at risk for developing pancreatic cancer around three years before diagnosis purely by using the patients' medical records.
"An AI tool that can zero in on those at highest risk for pancreatic cancer who stand to benefit most from further tests could go a long way toward improving clinical decision-making." An AI tool that can zero in on those at highest risk for pancreatic cancer who stand to benefit most from further tests could go a long way toward improving clinical decision-making.It begins in the pancreas, an organ behind the stomach that creates enzymes and hormones to assist in digestion and blood sugar regulation respectively.
In this new study, researchers trained artificial intelligence models on clinical data from Denmark spanning 6.2 million patients over 41 years. Out of this sample, around 24,000 would be diagnosed with pancreatic cancer at some point. This data set contained 3,900 patients who were diagnosed with pancreatic cancer. Researchers found that their AI algorithm was slightly less predictive than with the Denmark cohort, which was a truly national sample, but that when retrained on U.S. data, its accuracy improved.
If patients are diagnosed in the early stages, the five-year survival rate surges to 44%, the release said — but currently, only around 12% of cases are diagnosed that early. If the tumor spreads beyond the pancreas, the five-year survival rate can go as low as 2%.
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