NCT06181552

Development of CV Risk Prediction Tools Based on AI and Fundus Imaging Technology Study (PERFECT)

Development of Cardiovascular Risk Prediction Tools Based on Artificial Intelligence and Fundus Imaging Technology Study

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 1,072 (estimated)
• Sponsor: China National Center for Cardiovascular Diseases · Other Government
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

This study aims to develop a cardiovascular disease (CVD) screening tool and cardiovascular risk prediction tool based on fundus imaging data with the method of artificial intelligence.

Detailed description

This study will establish a cohort of individuals including patients with CVD and participants with high CVD risk, and all the study participants will be follow-up for 1 year. By collecting baseline clinical data, fundus imaging data, and CVD events during the follow up, this study aims to distinguish CVD status based on the fundus imaging data, and explore the association between fundus imaging data and occurence of CVD during the follow up. By using machine learning approach, this study aims to construct a CVD screening tool and CVD prediction tool based on fundus imaging data.

Conditions

• Cardiovascular Diseases

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	fundus photograpgy	All the participants will undergo fundus photography.
DIAGNOSTIC_TEST	optical coherence tomography	All the participants will undergo OCT examination.
DIAGNOSTIC_TEST	optical coherence tomography angiography	All the participants will undergo OCT-A examination.

Timeline

• Start date: 2023-12-01
• Primary completion: 2025-03-01
• Completion: 2025-06-01
• First posted: 2023-12-26
• Last updated: 2023-12-26