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AI vs. human eye: can ChatGPT help nurses catch bedsores?

NCT ID NCT07318571

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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

Summary

This study tests whether an AI-powered mobile app can help ICU nurses more accurately identify and stage pressure injuries (bedsores) compared to standard visual checks. About 90 nurses will be split into two groups: one using the AI tool, the other doing manual assessments. Their findings will be compared to a wound-care expert's evaluation to see if AI improves accuracy and boosts nurses' confidence.

What this could mean

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

Active substance
ChatGPT Skin Assessment mobile application
What this could lead to
If successful, this could show that AI helps nurses detect and stage pressure injuries more accurately, potentially improving patient care.
What could go wrong
This is a small, early-stage study with only 90 participants. The AI tool may not improve accuracy significantly, and results may not apply to other hospitals or settings.

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

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 90 people

The number the study aims to enrol. It can still change while the study runs.

Started

Nov 2025

Expected to finish

May 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion criteria * Nurses working within the organisation for at least 6 months * Nurses involved in direct patient care for over 50% of their work time. * Skin assessments and staging for patients at risk for developing pressure injuries (Using the Braden Scoring system). * Adult Patients (18 years and older) * Patients who are currently admitted to the ICU and are receiving critical care treatment. * No current severe skin conditions patients without active severe dermatological conditions (e.g., large open wounds, severe rashes) that would interfere with the AI-based skin assessment process. Exclusion criteria * Nurses working within the organization for less than 6 months * Nurses involved in direct patient care for less than 50% of their work time * End-of-Life Care or Terminal Illness- patients receiving end-of-life care or those with a terminal diagnosis, where the prevention of pressure injuries may not be a priority and where participation in the study may not align with their care goals. * Severe or active dermatological conditions- patients with active skin conditions such as severe rashes, burns, or other dermatological issues that could interfere with accurate skin assessments by AI or confound the study results. * Recent Skin Grafts or Advanced Wound Care- patients who have recently undergone skin grafts or those receiving complex wound care treatments that are outside the scope of typical pressure injury prevention practices. * Inability to Maintain Required Positioning for Skin Assessment- patients who are physically unable to remain in the necessary position for the skin assessments, either due to severe mobility restrictions or critical medical conditions.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • King Faisal Specialist Hospital and Research Center- Jeddah

    RECRUITING

    Jeddah, Mecca Region, 21423, Saudi Arabia