Plain-English translation of NCT07198256 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building an artificial intelligence system to help doctors better diagnose common malignant brain tumors — including gliomas, brain metastases, and brain lymphomas. The study collects MRI brain scans and medical information from patients who have already been diagnosed with one of these tumors, and uses deep learning technology to teach a computer to recognize and analyze these tumors more accurately. This AI tool could eventually help doctors make faster and more accurate diagnoses.
Currently, diagnosing brain tumors relies on doctors carefully examining imaging scans, which can be time-consuming and subjective. This research aims to develop an AI system that can automatically identify and classify different types of brain tumors from scans, which could improve diagnostic accuracy and help doctors provide better care more quickly.
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This is a retrospective study, meaning researchers look back at medical records and imaging scans you have already had — you do not receive any new treatment or medication. Researchers will collect your existing MRI brain scans and medical information from the hospital to add to their database. There are no study visits, injections, or procedures required; the study team simply reviews your past medical records and imaging.
AI-generated summary from trial data · Jul 3, 2026 · Not medical advice
China
Sponsor
Second Affiliated Hospital, School of Medicine, Zhejiang University
Collaborators
Zhejiang Cancer Hospital
Enrollment target
~3,000 participants
Started
September 2025
Primary completion
December 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 100 Years
Last updated on clinicaltrials.gov in September 2025.
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Central contact
Chao Wang, MD
Second Affiliated Hospital, School of Medicine, Zhejiang University
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