AI reads brain scans to spot tumors without needles
NCT ID NCT07198256
First seen Nov 01, 2025 · Last updated Jun 20, 2026 · Updated 30 times
Summary
This study is building a large database of MRI scans from 3,000 adults with malignant brain tumors (gliomas, metastases, lymphomas). Researchers are training an artificial intelligence system to automatically identify and classify these tumors. The goal is to improve non-invasive diagnosis, reduce the need for risky biopsies, and make tumor detection faster and more accurate.
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This is a summary of
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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2nd Affiliated Hospital, School of Medicine, Zhejiang University
RECRUITINGHangzhou, Zhejiang, 310009, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
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Zhejiang Cancer Hospital
NOT_YET_RECRUITINGHangzhou, Zhejiang, 310022, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
What this could lead to
If successful, this AI system could help doctors diagnose brain tumors more accurately without invasive biopsies, speeding up treatment decisions.
What could go wrong
This is an early-stage research study, not a treatment trial. The AI may not work as well in real-world settings or for all tumor types, and it needs validation before clinical use.
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.