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
N/A
Total Duration
On this page
AI-Summary
What this Trial Is About
Researchers are developing a new, comprehensive AI vision-language foundation model to improve diagnosis and interpretation of various brain diseases. This observational study aims to use multiple types of data including patient demographics, medical imaging like MRI, CT, and PET scans, histopathological and genomic data when available, plus other lab tests to create a detailed screening and diagnostic tool for brain diseases. The study also seeks to establish a diagnostic model that includes uncertainty quantification and automated report generation for a wide range of brain conditions. Additionally, the model will be validated using MRI scans from large populations. This study does not involve any interventions or treatments. Instead, it collects and analyzes a variety of clinical and imaging data from patients diagnosed with brain diseases such as brain tumors and neurodegenerative disorders, as well as from individuals without brain disease who have complete brain MRI scans and clinical data. Data quality is important, so cases with incomplete or poor-quality MRI scans are excluded from analysis. Participants will contribute their existing clinical case data and brain imaging results to support model development and validation. The main outcome measure is the performance of the AI model in diagnosing brain diseases during the perioperative period. Since this is an observational study, there are no active treatments or procedures for participants. The study is sponsored by Xiangya Hospital of Central South University and aims to advance brain disease diagnosis through large-scale data analysis and AI technology.
CONDITIONS
Brief 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 pathology
- Patients with other correctly diagnosed brain diseases
- Patients with complete clinical case data
- Patients without brain disease who have complete clinical case data and complete brain MRI
- No history of brain diseases or brain surgeries affecting MRI diagnosis for non-brain disease group
You will not qualify if you...
- Patients with incomplete MRI scans or scans with significant noise and artifacts
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - Up to 1 day
Participants undergo MRI scans and clinical data collection to support brain disease diagnosis.
1 visit (in-person)
Duration - Up to 8 years
Participants are observed for diagnostic model validation using MRI scans from large-scale populations.
Additional assessments may occur depending on cohort assignment
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.
Z
Zhou Chen, PhD.
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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