AI reads brain scans to spot deadly tumors without surgery
NCT ID NCT07673692
First seen Jun 29, 2026 · Last updated Jun 30, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence system called GliomaAI-GBM can detect a specific aggressive brain tumor (IDH wildtype glioblastoma) using routine MRI scans. Researchers will analyze previously collected, anonymized MRI data from 1,372 patients across 13 hospitals. The goal is to see how accurately the AI can identify these tumors compared to standard genetic testing after surgery. No new scans or treatments are involved.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
GliomaAI-GBM (artificial intelligence software)
What this could lead to
If successful, this AI could help doctors quickly identify aggressive brain tumors from standard MRI scans, potentially speeding up diagnosis and treatment decisions.
What could go wrong
This is an early-stage study using existing data, not a real-world test. The AI may not perform as well across different hospitals or patient groups, and it is not yet proven to improve patient outcomes.
Disclaimer
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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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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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Deep Learning Institute of Radiological Sciences
Mumbai, India