New AI model may identify pancreatic cancer risk up to 5 years early
Researchers have developed an AI model capable of identifying pancreatic cancer risk up to five years before clinical diagnosis using electronic health records. The study, presented at the ACS Clinical Congress, suggests that analyzing routine lab data could significantly improve early detection rates.
Why it matters
Early detection of pancreatic cancer is critical for survival, and this AI-driven approach could transform screening protocols for high-risk patients.
Despite pancreatic cancer accounting for roughly 3% of all new cancer cases, it is responsible for approximately 8% of cancer deaths , highlighting its particularly high mortality burden.
Pancreatic cancer can be difficult to detect , with many cases diagnosed after it has spread. An early diagnosis could be particularly beneficial, as data show a 5-year relative survival of about 44% when the cancer is still localized, compared with just 3% when it has spread to distant parts of the body.
Now, research suggests that an artificial intelligence (AI) model could identify people at increased risk of pancreatic cancer as early as 5 years before it becomes clinically apparent, using information routinely collected in electronic health records.
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