AI reads brain scans to spot tumors without a biopsy
NCT ID NCT07703761
First seen Jul 14, 2026 · Last updated Jul 15, 2026 · Updated 1 time
Summary
This study explores whether artificial intelligence can analyze MRI scans to detect, map, and characterize gliomas—a common type of brain tumor—without needing an invasive biopsy. Researchers will collect existing MRI and clinical data from about 700 patients across Italy to train AI models. The goal is to help doctors make faster, more accurate treatment decisions and potentially reduce the need for surgical tissue sampling.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- AI-driven analysis of brain MRI data using convolutional neural networks, recurrent neural networks, and vision transformers
- What this could lead to
- If successful, this could lead to faster, non-invasive diagnosis of brain tumors and more personalized treatment planning, reducing the need for biopsies.
- What could go wrong
- This is an observational study using existing data, so the AI models may not perform as well in real-world settings. Results are exploratory and not yet validated for clinical use.
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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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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CISMed, Centre for Medical Sciences
RECRUITINGTrento, 38122, Italy
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
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