Actively Recruiting
A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data
Led by Xiangya Hospital of Central South University · Updated on 2025-08-17
100000
Participants Needed
1
Research Sites
293 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this observational study is to develop an innovative, comprehensive, and explainable AI vision-language foundation model (VLM) to advance the diagnosis and interpretation of brain diseases using multi-modal data. We will include patient demographics, medical imaging data (such as MRI, CT, and PET scans), histopathological data, genomic data when available, and other necessary laboratory examinations and tests to establish a screening and diagnostic model for brain diseases.
CONDITIONS
Official Title
A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients with brain tumors confirmed by pathological diagnosis
- Patients with other brain diseases with correct diagnoses
- Complete clinical case data available for all patients with brain diseases
- Patients without brain diseases must have complete clinical case data and brain MRI
- No history of brain diseases, brain surgery, or other conditions affecting MRI diagnosis in non-brain disease group
You will not qualify if you...
- MRI scans that are incomplete or have significant noise or artifacts
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Xiangya Hospital of Central South University
Changsha, Hunan, China, 410008
Actively Recruiting
Research Team
X
Xuan Gong, PhD.
CONTACT
Z
Zhou Chen, PhD.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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