A Vision-Language Foundation Model for Brain Disease Diagnosis From Multimodal Data

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.

NCT Number	NCT07126821
Lead Sponsor	Xiangya Hospital of Central South University
Conditions	Brain (Nervous System) Cancers, Brain Arterial Disease, Neuro-Degenerative Disease, Brain Tumors, Brain Diseases, Neurological di
Enrollment	100,000 participants
Start Date	2025-05-15
Primary Completion	2030-12-31 (estimated)
Study Completion	2030-12-31 (estimated)
Updated on ClinicalTrials.gov	2025-08-17