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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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The First Affiliated Hospital of Zhengzhou University
Zhengzhou, China
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Wuhan Union Hospital
Wuhan, Hubei, 430022, China
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Wuhan Union Jinyin Lake Hospital
Wuhan, Hubei, 430022, China
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Wuhan Union West Hospital
Wuhan, Hubei, 430022, China
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