Using AI to improve CPR guidance during cardiac arrest
Official title: Artificial Intelligence for Dynamic, individualized CPR guidance: AID CPR
Funded at Ohio State University · NIH-10909863 · Data updated 2026-11-12
This study is looking at how to make CPR better for people who have a cardiac arrest outside of the hospital by using real-time breathing measurements to tailor the CPR to each person's needs, with the hope of improving their chances of survival.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ohio State University NIH-funded |
| Lab location | 1 site (Columbus, UNITED STATES) |
| Project start | September 1, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $161,038 |
| NIH project number | 5K08HL168330-02 |
| Project ID | NIH-10909863 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults who have experienced an out-of-hospital cardiac arrest.
✕Less likely to help
Patients who are not experiencing cardiac arrest or those under 21 years old may not benefit from this research.
What this research studies
This research focuses on enhancing the effectiveness of cardiopulmonary resuscitation (CPR) for patients experiencing out-of-hospital cardiac arrest (OHCA) by integrating real-time measurements of end-tidal carbon dioxide (ETCO2) into the resuscitation process. By employing advanced machine learning techniques, the study aims to analyze how individual patient characteristics influence the dynamics of CPR and overall outcomes. The goal is to develop a personalized CPR strategy that adapts to the physiological responses of each patient during resuscitation efforts. This innovative approach seeks to create a comprehensive database of CPR data to inform future research and improve resuscitation practices.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized CPR techniques, significantly improving survival rates for patients experiencing cardiac arrest.
How similar studies have gone: Previous research has shown promise in using real-time physiological data to guide resuscitation efforts, suggesting that this approach could yield significant advancements in CPR practices.
Where this research is happening
-
Ohio State University
Columbus, United States Active
Researchers
- Principal investigator: Nassal, Michelle M.j. — Ohio State University
- Study coordinator: Nassal, Michelle M.j.
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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.