AI cuts radiation by 83% for lung scans in new study
NCT ID NCT07035977
First seen Jan 06, 2026 · Last updated May 10, 2026 · Updated 18 times
Summary
This study tested a deep-learning system called DeepPriorCBCT to see if it can produce high-quality lung images using much less radiation than standard methods. 138 adults getting a lung biopsy had both a low-dose and a conventional CT scan. The goal was to check if the AI-enhanced low-dose images are as good for spotting lung nodules as the standard higher-dose images.
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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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Locations
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The First Affiliated Hospital East Campus of Zhengzhou University
Zhengzhou, Henan, China
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The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, 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
Conditions
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