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AI Detects Pancreatic Cancer up to 3 Years Earlier, Mayo Study Shows
The model reviewed nearly 2,000 scans and found 73% of cancers before diagnosis, nearly doubling specialist detection without AI assistance.
- Mayo Clinic researchers developed REDMOD, an artificial intelligence model that detects pancreatic cancer up to three years before clinical diagnosis by identifying subtle changes in routine CT scans.
- Pancreatic cancer is often deadly because it rarely causes symptoms in early stages; more than 85% of patients receive a diagnosis after the disease has spread, with five-year survival rates below 15%, according to the National Cancer Institute.
- Published in Gut, the study validated REDMOD using nearly 2,000 CT scans, where the model identified 73% of prediagnostic cancers at a median of about 16 months before diagnosis—nearly double specialists' detection rates.
- Researchers are advancing this work into the AI-PACED study, evaluating how clinicians can integrate AI-guided detection into care for patients at elevated risk, such as those with new-onset diabetes.
- Supported by the National Institutes of Health, the research is part of the Precure initiative, which aims to predict and prevent disease by identifying the earliest biological changes before symptoms start.
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AI Breakthrough Detects Pancreatic Cancer Up to Three Years Before Diagnosis
Pancreatic cancer awareness. Credit: GR Archive An AI tool developed by the Mayo Clinic can spot pancreatic cancer on routine CT scans up to three years before doctors diagnose the disease, according to a new study published in Gut by the British Society of Gastroenterology. The study, led by Sovanlal Mukherjee from the Department of Radiology at Mayo Clinic in Rochester, Minnesota, found the AI nearly doubled the detection rate of expert radiol…
Pancreatic cancer is often only discovered when cure is hardly possible. A new AI model of Mayo Clinic could change this.
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