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a Foundational Model for Cardiovascular Disease Diagnosis and Prediction

NCT06591923 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000000

Last updated 2024-09-19

No results posted yet for this study

Summary

The goal of this observational study is to develop and evaluate the efficacy of a foundational model that integrates multimodal medical data to improve the diagnosis and prediction of cardiovascular diseases in patients aged 18 and older, including those with various heart conditions such as coronary artery disease, heart failure, and arrhythmias. The main questions it aims to answer are:

Can a multimodal data-based diagnostic model match or exceed the accuracy of traditional gold-standard methods like coronary angiography, MRI, and echocardiography? Does integrating different types of data (ECG, imaging, biochemical tests) improve diagnostic accuracy and prediction of cardiovascular disease outcomes? Researchers will compare the foundational model with traditional diagnostic methods to see if the model offers better sensitivity, specificity, and prediction accuracy across different heart disease types.

Participants will:

Provide data from past medical records, including ECG, echocardiography, cardiac MRI, and biochemical tests.

Undergo further data collection if necessary, in line with standard clinical procedures for cardiovascular disease management.

Conditions

Interventions

OTHER

No Interventions

No interventions.

Sponsors & Collaborators

  • Shanghai Zhongshan Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-10-31
Primary Completion
2025-04-30
Completion
2025-04-30

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 NCT06591923 on ClinicalTrials.gov