Improving Heart Transplant Decisions with Artificial Intelligence
Developing Machine Learning Models for Decision Support and Allocation Optimization in Heart Transplantation
['FUNDING_R01'] · MEDICAL UNIVERSITY OF SOUTH CAROLINA · NIH-11092289
This research aims to create a smart computer program to help doctors make better decisions about matching donor hearts with patients who need them.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MEDICAL UNIVERSITY OF SOUTH CAROLINA (nih funded) |
| Locations | 1 site (CHARLESTON, UNITED STATES) |
| Trial ID | NIH-11092289 on ClinicalTrials.gov |
What this research studies
Many people need heart transplants, but there aren't enough donor hearts, and some available hearts are not used. Doctors currently rely on their experience to decide which donor heart is best for which patient, which can lead to varying outcomes. This project will build an advanced artificial intelligence tool that can quickly analyze many factors about both donor hearts and recipients. The goal is to provide doctors with data-driven insights to improve the success rate of heart transplants and ensure more donor hearts are used effectively.
Who could benefit from this research
Good fit: This research is for adult patients who are candidates for heart transplantation or those who have received a heart transplant, as it aims to improve the process for them.
Not a fit: Patients not in need of a heart transplant or those with conditions unrelated to cardiac transplantation would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this tool could lead to more successful heart transplants, fewer wasted donor hearts, and better outcomes for patients needing a new heart.
How similar studies have performed: Existing risk models have had limited success and widespread use, indicating that this new, more advanced approach is novel and seeks to overcome prior limitations.
Where this research is happening
CHARLESTON, UNITED STATES
- MEDICAL UNIVERSITY OF SOUTH CAROLINA — CHARLESTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: KILIC, ARMAN — MEDICAL UNIVERSITY OF SOUTH CAROLINA
- Study coordinator: KILIC, ARMAN
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.