A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: No Interventions.
- Who it may be relevant to
- Registry conditions: Brain (Nervous System) Cancers, Brain Arterial Disease, Neuro-Degenerative Disease, Brain Tumors. Basic parameters: No limits · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
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.
Interventions
- Other No Interventions
No Interventions
Primary outcome measures
- Brain Disease Diagnostic performance [Time frame: Perioperative]
Eligibility criteria
Inclusion criteria
Patients with brain diseases:
- Patients with brain tumors were pathologically diagnosed.
- Patients with other brain diseases were correctly diagnosed.
- The clinical case data of all patients were complete.
Non-brain disease population:
- All patients have complete clinical case data, complete brain MRI, no history brain diseases, no brain surgery or other brain diseases that affect the diagnosis and observation of MR imaging.
Exclusion criteria
- Cases in which MRI were incomplete or with significant noise and artifacts.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Case-only
Study locations
China · 1 center
- Xiangya Hospital of Central South University — Changsha
Identifiers
NCT: NCT07126821 · 2025030464