AI model aims to spot pancreatic cancer risk years in advance

NCT ID NCT05973331

Ongoing Diagnosis Sponsor: Beth Israel Deaconess Medical Center Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is testing a computer model called PRISM that uses electronic health records to predict who might develop pancreatic cancer. Researchers will analyze data from over 6 million people aged 40 and older across 44 US healthcare centers. The goal is to see if the model can accurately identify high-risk individuals, which could lead to earlier screening and diagnosis.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could help doctors identify people at high risk for pancreatic cancer earlier, potentially leading to earlier detection and better outcomes.
What could go wrong: This is an observational study, not a treatment trial. The model may not be accurate enough for real-world use, and it does not directly improve survival.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

pancreatic adenocarcinoma

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

PANCREATIC ADENOCARCINOMA PREDICTIVE CANCER MODEL

Contacts and locations

Locations

Beth Israel Deaconess Medical Center

Boston, Massachusetts, 02115, United States

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