AI reads 2 million CT scans to spot hidden diseases
NCT ID NCT07040358
First seen Nov 01, 2025 · Last updated May 12, 2026 · Updated 26 times
Summary
This study aims to create an AI system that helps doctors interpret abdominal CT scans more accurately. Researchers will use data from 2 million patients to train the AI to detect and describe lesions. The goal is to reduce errors and speed up diagnosis for abdominal diseases.
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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 Affliated Hospital, Zhejiang University School of Medicine
Hangzhou, Zhejiang, 310003, China
Conditions
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