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

NCT07126821 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100000

Last updated 2025-08-17

No results posted yet for this study

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.

Conditions

Interventions

OTHER

No Interventions

No Interventions

Sponsors & Collaborators

  • Xiangya Hospital of Central South University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-05-15
Primary Completion
2030-12-31
Completion
2030-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07126821 on ClinicalTrials.gov