Eye-Brain Cross-Organ Mapping Study with Multimodal Big Data
Summary
NIH registered observational study NCT07541651 on ClinicalTrials.gov, integrating multimodal eye imaging data (CFP, OCT, OCTA) from 50,000 cases and brain MR data from 150,000 cases with eye-brain paired clinical data from 8,000 cases to construct cross-modal mapping and systemic disease association models.
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This ClinicalTrials.gov registration documents a new observational study (NCT07541651) that integrates CFP, OCT, and OCTA eye imaging from 50,000 cases with brain MR imaging from 150,000 cases, using an eye-brain paired cohort of 8,000 cases to develop cross-modal mapping and systemic disease association models. The study aims to identify quantitative relationships between ocular features, brain structure, and systemic disease ICD diagnoses for early disease screening.
Healthcare researchers, clinical investigators, and institutions conducting similar eye-brain or multimodal imaging research should note this study's data integration scope as a reference for future protocol design. The study carries no direct compliance obligations for third parties as it is an observational registration rather than an interventional or regulatory mandate.
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Apr 21, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Study on Eye-Brain Cross-Organ Mapping and Systemic Disease Association Based on Multimodal Big Data
Observational NCT07541651 Kind: OBSERVATIONAL Apr 21, 2026
Abstract
This project integrates multimodal eye data (CFP, OCT, OCTA) from 50,000 cases, brain MR data from 150,000 cases, and ICD diagnoses, medical orders, and test results from an eye-brain paired cohort of 8,000 cases to construct an eye-brain cross-modal mapping model and an eye-brain-systemic disease association model. It aims to clarify the quantitative associations between multimodal ocular features and brain structural and vascular characteristics as well as systemic disease ICD diagnoses, thereby uncovering the cross-organ and cross-modal linkage mechanisms between the eye and brain. Ultimately, it seeks to achieve mapping and prediction of brain imaging features based on ocular data, enable ocular-based diagnosis and prediction of various diseases, and contribute significantly to early disease screening, risk stratification, and optimization of clinical diagnosis and treatment.
Conditions: Cataract, Vitreous Hemorrhage, Diabetic Eye Diseases, Cerebral Small Vessel Disease, Cerebrovascular Stenosis
Interventions: No interventions were involved in this study.
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