AI boosts X-Ray accuracy in massive 16,000-Patient trial
NCT ID NCT07497243
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This trial tests whether an artificial intelligence model can help radiologists interpret chest X-rays more accurately and quickly. Researchers will compare diagnoses made with and without AI assistance in 16,000 patients with suspected chest diseases. The goal is to improve the current diagnostic accuracy of around 70% and reduce report generation time.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI-assisted X-ray diagnosis system
What this could lead to
If successful, this AI tool could help radiologists detect diseases like pneumonia or lung cancer on chest X-rays more accurately and quickly.
What could go wrong
This is an early-stage trial that has not yet started recruiting. The AI may not improve accuracy in real-world settings, and results may not apply to all hospitals.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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The First Affiliated Hospital of Zhengzhou University
Zhengzhou, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Wuhan Union Hospital
Wuhan, Hubei, 430022, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Wuhan Union Jinyin Lake Hospital
Wuhan, Hubei, 430022, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Wuhan Union West Hospital
Wuhan, Hubei, 430022, China
Contact Phone: •••-•••-•••• Email: •••••@•••••