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AI tool boosts Nurses' accuracy in spotting bedsores

NCT ID NCT07318571

Recruiting now Knowledge-focused Sponsor: King Faisal Specialist Hospital & Research Center Source: ClinicalTrials.gov ↗

First seen Jan 11, 2026 · Last updated May 15, 2026 · Updated 19 times

Summary

This study tests whether an artificial intelligence (AI) mobile app helps intensive care nurses more accurately identify and stage pressure injuries (bedsores) compared to standard visual checks. About 90 nurses will either use the AI tool or perform manual assessments on ICU patients. Their findings will be compared to those of a wound-care expert to see which method is more precise.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • King Faisal Specialist Hospital and Research Center- Jeddah

    RECRUITING

    Jeddah, Mecca Region, 21423, Saudi Arabia

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

Conditions

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THE STUDY FOCUSES ON SKIN ASSESSMENT AND PI STAGING IN ICU PATIENTS