AI ultrasound could revolutionize childhood cancer diagnosis
NCT ID NCT07549425
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to create an intelligent ultrasound system that can better diagnose and classify neuroblastoma tumors in children. Researchers will use ultrasound images and medical data from 300 children to train a computer model to identify tumor types, predict risk, and guide treatment. The goal is to make diagnosis faster and more accurate, helping doctors choose the best care for each child.
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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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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
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Locations
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Anhui Provincial Children's Hospital
Hefei, Anhui, 230041, China
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Kunming Children's Hospital
Kunming, Yunnan, 650100, China
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The Children's Hospital Affiliated to Soochow University
Suzhou, Jiangsu, 215008, China
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The Children's Hospital of Zhejiang University School of Medicine
Hangzhou, Zhejiang, 310000, China
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Wenling Institute of Medical Big Data and Artificial Intelligence
Wenling, Zhejiang, 317500, China
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Zhejiang Cancer Hospital
Hangzhou, Zhejiang, 310000, China