AI screening to speed STEMI diagnosis in ED patients
Official title: Using Predictive Modeling for Acute Coronary Syndrome Screening to Improve Timely Diagnosis and Mortality for STEMI
Funded at Stanford University · NIH-11262229 · Data updated 2026-11-12
A Stanford-led project uses artificial intelligence to quickly identify STEMI among ED patients with acute coronary syndrome to reduce treatment delays and improve outcomes.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | December 15, 2023 |
| Project end | November 30, 2028 |
| Funding year | 2026 |
| Award (this year) | $675,401 |
| NIH project number | 5R01HL171403-03 |
| Project ID | NIH-11262229 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are adults with suspected ACS presenting to the ED who are at risk for STEMI, including women and non-white patients.
✕Less likely to help
Patients not presenting with ACS or STEMI are unlikely to benefit from the AI screening tool.
What this research studies
In this project, researchers will develop an AI-based screening tool that analyzes ECGs and other ED data to flag potential STEMI within minutes of arrival. The goal is to help ED clinicians identify STEMI faster, especially in women and non-white patients who currently experience delays. The study builds on prior work showing that every minute matters for timely STEMI treatment and aims to cut the time from arrival to diagnosis and treatment. By focusing on reducing biases and improving diagnostic precision, the project seeks to improve survival and cardiac outcomes for ACS patients.
Why it matters
Potential benefit: If successful, the AI screening tool could shorten time to STEMI treatment and reduce mortality for patients presenting with ACS.
How similar studies have gone: Previous work suggests AI can improve rapid ECG interpretation and reduce delays, but bias reduction and broad validation are still being established.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Yiadom, Maame Yaa A.b. — Stanford University
- Study coordinator: Yiadom, Maame Yaa A.b.
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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.