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Mayo Clinic AI Finds Preclinical Pancreatic Cancer on Routine CT Up to Three Years Early

Peer-reviewed results suggest earlier detection could move more cases into a curative window.

Overview

  • A study in Gut validated REDMOD on routine abdominal CT across multiple hospitals, finding 73% sensitivity for very early pancreatic cancer versus 39% for radiologists.
  • The model detected disease a median 475 days before diagnosis and reached cases as far as about three years ahead of clinical detection.
  • Specificity was about 88% for people without cancer, and repeat scans for the same patient produced consistent risk scores over time.
  • Researchers plan a prospective trial called AI-PACED to test real-world use, false-positive rates, follow-up pathways, and outcomes in higher-risk patients.
  • Authors note key limits including a less diverse cohort and call for targeted testing in high-risk groups before routine clinical adoption.