AI vs. human eye: a new test for measuring bedsores
NCT ID NCT07743385
First seen Aug 03, 2026 · Last updated Aug 05, 2026 · Updated 2 times
Summary
This trial is testing whether an AI system can measure the area of pressure ulcers (bedsores) as accurately as the traditional manual grid-counting method, but in less time. Adults with pressure ulcers will have a transparent grid film placed on their wound, and a single photo will be taken. The same image will then be measured both by the AI and by trained staff, and the results and time taken will be compared. The goal is to see if AI can offer a reliable, faster way to track wound healing.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI grid image recognition measurement using a sterile transparent grid film
- What this could lead to
- If successful, this could provide a faster, more consistent way to measure wound size in clinical practice, improving pressure ulcer care and monitoring.
- What could go wrong
- The trial is small and early, and AI accuracy may vary across different wound types or skin tones. It also depends on image quality and may not replace manual methods in all settings.
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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.
Contacts and locations
Locations
-
Affiliated Hospital of Nantong University
Nantong, Jiangsu, 226000, China
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The First Affiliated Hospital of Bengbu Medical University
Bengbu, Anhui, 233004, China
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the Second Affiliated Hospital of Zhejiang University School of Medicine.
Hangzhou, Zhejiang, 310009, China
More trials for these conditions
Other studies related to the condition(s) this trial covers.
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- AI-Powered smartphone photos could revolutionize wound care