| Title: | AI-aided Cardiovascular outcomes prediction using cardiac imaging biomarkers |
| Lead Institution: | Emory University |
| Principal investigator: | Professor Anant Madabhushi |
Application 72280
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
About
Cardiovascular diseases are among the leading causes of mortality across the world. In particular, coronary artery disease represent a high burden of cardiovascular deaths. The aims of our study is to develop artificial intelligence-based tools using MRI scans, EKG, and patient demographics to predict the risk of adverse outcomes in patients Type of dataset required: Cardiac imaging data (CMR), patient demographics, outcomes, QOLs, EKGs. The expected value of research (public interest) is that the development of a non-invasive, novel, AI-aided toolkit will allow accurate prediction of the risk of adverse cardiovascular outcomes. This toolkit will help in future prospective studies to preemptively identify high-risk patients for whom protective strategies may be targeted.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 19619 | AI-informed retinal biomarkers predict 10-year risk of onset of multiple hematological malignancies | Amritpal Singh (+7) | 2025 | European Journal of Cancer |
Enabling scientific discoveries that improve human health