AI may predict bedsores before they form in ICU patients

NCT ID NCT07306143

Completed Knowledge-focused Sponsor: Abant Izzet Baysal University Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looked at medical records of 500 adult ICU patients to see if computer algorithms could predict who might develop pressure injuries (bedsores). The researchers used data like lab results and nursing notes to test different prediction methods. No treatments or patient contact were involved. The goal is to find better ways to identify at-risk patients early.

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 lead to better tools for predicting pressure injuries in ICU patients, helping nurses prevent them earlier.
What could go wrong: This is a small, single-center retrospective study using existing records, so the results may not apply to other hospitals or patients. It does not test any treatment.

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.

decubitus ulcer

As listed by the trial registrant

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

PRESSURE INJURY

Contacts and locations

Locations

Bolu Izzet Baysal State Hospital

Bolu, Bolu, 14100, Turkey (Türkiye)
Bolu Izzet Baysal State Hospital

Merkez, Bolu, 14100, Turkey (Türkiye)

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