Identifying childhood cancer survivors at risk for heart problems using AI and ECG data.
Early Identification of Childhood Cancer Survivors at High Risk for Late Onset Cardiomyopathy: An Artificial Intelligence Approach utilizing Electrocardiography
This study is working on a smart computer program that looks at heart test results to help find childhood cancer survivors who might be at risk for heart problems later on, so they can get the care they need to stay healthy.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Wake Forest University Health Sciences NIH-funded |
| Lab location | 1 site (Winston-Salem, United States) |
| Project ID | NIH-11059172 on NIH RePORTER |
What this research studies
This research aims to develop an artificial intelligence tool that analyzes electrocardiogram (ECG) data to identify childhood cancer survivors who are at high risk for developing cardiomyopathy, a serious heart condition. Given that many childhood cancer survivors treated with certain chemotherapy drugs face long-term cardiovascular risks, this project seeks to enhance early detection methods beyond current screening guidelines. By utilizing AI, the researchers hope to predict which patients may develop heart issues in the future, allowing for timely interventions to improve their quality of life.
Who could benefit from this research
Good fit: Ideal candidates for this research are childhood cancer survivors who have received anthracycline chemotherapy or chest-directed radiation and are currently under active follow-up care.
Not a fit: Patients who have not undergone treatment with anthracycline chemotherapy or chest-directed radiation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to earlier identification and management of heart problems in childhood cancer survivors, significantly improving their long-term health outcomes.
How similar studies have performed: Previous research has demonstrated success in using AI to predict cardiomyopathy in similar patient populations, indicating a promising approach for this project.
Where this research is happening
Winston-Salem, United States
- Wake Forest University Health Sciences — Winston-Salem, United States (Active)
Researchers
- Principal investigator: Akbilgic, Oguz — Wake Forest University Health Sciences
- Study coordinator: Akbilgic, Oguz
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.