Trials / Recruiting
RecruitingNCT07126821
A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 100,000 (estimated)
- Sponsor
- Xiangya Hospital of Central South University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
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.
Detailed description
Secondary Objective: To establish a comprehensive diagnostic model with uncertainty quantification and automated report generation that covers all brain diseases based on clinical indicators. Exploratory Objective: To include MRI scans from large-scale populations for model validation.
Conditions
- Brain (Nervous System) Cancers
- Brain Arterial Disease
- Neuro-Degenerative Disease
- Brain Tumors
- Brain Diseases
- Neurological di
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | No Interventions | No Interventions |
Timeline
- Start date
- 2025-05-15
- Primary completion
- 2030-12-31
- Completion
- 2030-12-31
- First posted
- 2025-08-17
- Last updated
- 2025-08-17
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07126821. Inclusion in this directory is not an endorsement.