AI and personal guidance boost cancer screening in underserved neighborhoods

NCT ID NCT05383976

First seen Feb 14, 2026 · Last updated May 16, 2026 · Updated 19 times

Summary

This study tested a program that uses computer algorithms and patient navigators to help people in low-income areas complete their colorectal cancer screening. 385 adults from specific Philadelphia zip codes who had not finished a colonoscopy or stool test were included. The goal was to see if this approach could increase screening rates and find more early cancers.

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Contacts and locations

Locations

  • University of Pennsylvania

    Philadelphia, Pennsylvania, 19104, United States

Conditions

Explore the condition pages connected to this study.