AI reads MRI scans to reveal hidden brain tumor types in children before surgery
NCT ID NCT07703605
First seen Jul 14, 2026 · Last updated Jul 24, 2026 · Updated 5 times
Summary
This study is developing an artificial intelligence (AI) system that can analyze standard MRI brain scans to determine the specific molecular subtype of a child's brain tumor before surgery. The research includes 1,400 children under 18 with suspected brain tumors, using both past and future patient data to train and test the AI. The goal is to see if the AI can accurately predict key tumor markers that currently require a tissue sample after surgery, which could help doctors plan treatment faster and more precisely.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- an artificial intelligence (AI)-assisted diagnostic system that analyzes preoperative MRI scans to predict molecular subtypes of pediatric brain tumors
- What this could lead to
- If successful, this AI system could allow doctors to identify the specific molecular type of a child's brain tumor before surgery, enabling more personalized and timely treatment decisions without needing an invasive biopsy first.
- What could go wrong
- This is an observational study developing and validating the AI model, not a treatment trial. The AI's predictions may not be accurate enough for clinical use, and the results may not apply to all types of pediatric brain tumors or to other hospitals.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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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Study contacts
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