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

Recruiting now

Conditions studied: Brain (Nervous System) Cancers, Brain Arterial Disease, Neuro-Degenerative Disease, Brain Tumors, Brain Diseases, Neurological di

In brief

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.

Key facts

Study ID

NCT07126821

Run by

Xiangya Hospital of Central South University

People needed

100000

Starts

2025-05-15

Expected to finish

2030-12-31

Last updated by the study team

2025-08-17

Who can join

Age: any. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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.

You may not qualify if…

• Cases in which MRI were incomplete or with significant noise and artifacts.

Where it is running

• Xiangya Hospital of Central South University — Changsha, Hunan, China (enrolling)

Full record on ClinicalTrials.gov

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