AI reads brain tumor types from routine slides, no special stains needed

NCT ID NCT07685301

Not yet recruiting Knowledge-focused Sponsor: Huashan Hospital Source: ClinicalTrials.gov ↗

First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study develops an artificial intelligence model that can classify brain tumors into categories, families, and specific diagnoses using only standard stained tissue slides. Researchers will train the AI on 20,000 archived images from two hospitals and test its accuracy against known diagnoses. If it works, the AI could speed up diagnosis and reduce reliance on expensive molecular testing.

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 model could help pathologists diagnose brain tumors faster and more accurately from routine slides, potentially reducing the need for additional molecular tests.
What could go wrong: This is a retrospective observational study using existing data, so the AI's performance in real-time clinical use is unknown. The model may not generalize well to other hospitals or patient populations.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for BRAIN TUMORS are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

brain cancer brain neoplasm central nervous system cancer central nervous system neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BRAIN TUMORS CENTRAL NERVOUS SYSTEM NEOPLASMS

Contacts and locations

Show contact details

Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

More trials for these conditions

Other studies related to the condition(s) this trial covers.