Using artificial intelligence to enhance survival rates after cardiac arrest.
Official title: Artificial Intelligence to Improve Resuscitation following Out-of-Hospital Cardiac Arrest
Funded at University of Washington · NIH-10983612 · Data updated 2026-11-12
This study is working on smarter defibrillators that use advanced technology to give personalized help to people who have a cardiac arrest outside of the hospital, aiming to improve their chances of survival during emergencies.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | July 5, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| Award (this year) | $163,034 |
| NIH project number | 1K01HL171797-01A1 |
| Project ID | NIH-10983612 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who have experienced out-of-hospital cardiac arrest or are at high risk for such events.
✕Less likely to help
Patients who have not experienced cardiac arrest or have conditions that preclude resuscitation efforts may not benefit from this research.
What this research studies
This research focuses on developing advanced AI algorithms for defibrillators to improve the chances of survival for individuals experiencing out-of-hospital cardiac arrest (OHCA). By utilizing deep learning techniques, the project aims to create personalized resuscitation strategies that can adapt to the specific needs of each patient during an emergency. The research involves collaboration with experts in various fields, including emergency medicine and biostatistics, to ensure a comprehensive approach to resuscitation. Patients may benefit from more effective and tailored treatment protocols during cardiac emergencies.
Why it matters
Potential benefit: If successful, this research could significantly increase survival rates and improve outcomes for patients who suffer from cardiac arrest outside of a hospital setting.
How similar studies have gone: Other research has shown promising results using AI in medical emergencies, suggesting that this approach could lead to significant advancements in resuscitation techniques.
Where this research is happening
-
University of Washington
Seattle, United States Active
Researchers
- Principal investigator: Coult, Jason — University of Washington
- Study coordinator: Coult, Jason
Related research
Other NIH-funded projects on the same topics.
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Multi-center study on how ventilation during CPR relates to cardiac arrest outcomes
A large, real-world study will look at how ventilation during CPR affects survival after out-of-hospital cardiac arrest in adults.
-
Specialized post-arrest care after cardiac arrest
A large, nationwide effort tests whether transferring cardiac arrest patients to a specialized post-arrest care center improves recovery compared with usual care.
-
Reduce bias in predicting brain recovery after cardiac arrest
This project aims to make brain-recovery predictions more accurate for people who survive cardiac arrest by comparing outcomes between the United States and Brazil.
-
Fairer brain recovery predictions after cardiac arrest through U.S.–Brazil collaboration
This project aims to find better ways to predict brain recovery for people who survive cardiac arrest but have possible brain injury.
-
Improving predictions of brain recovery after cardiac arrest
This project compares outcomes after cardiac arrest in the U.S. and Brazil to learn which tests best predict who will regain brain function for people who survive cardiac arrest.
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Reducing biased predictions of brain recovery after cardiac arrest
This project looks at cardiac arrest survivors in the US and Brazil to find more accurate ways to predict brain recovery and avoid premature stopping of life support.
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.