Improving heart attack diagnosis using artificial intelligence
Official title: Using Predictive Modeling for Acute Coronary Syndrome Screening to Improve Timely Diagnosis and Mortality for STEMI
Funded at Stanford University · NIH-10999429 · Data updated 2026-11-12
This study is working on using artificial intelligence to help emergency departments quickly and accurately identify heart attacks, especially for women and people of color who might not get diagnosed as fast, so everyone can receive the care they need within the first 10 minutes of arriving.
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 | 2025 |
| Award (this year) | $627,484 |
| NIH project number | 5R01HL171403-02 |
| Project ID | NIH-10999429 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals presenting with symptoms of acute coronary syndrome, particularly women and non-white patients who are at higher risk of diagnostic delays.
✕Less likely to help
Patients who do not exhibit symptoms of acute coronary syndrome or those who are not seeking emergency care may not benefit from this research.
What this research studies
This research focuses on enhancing the identification of ST-elevation myocardial infarction (STEMI) through the use of artificial intelligence (AI) in emergency departments. It aims to ensure that all patients, particularly women and non-white individuals who often face diagnostic delays, receive timely ECGs within a critical 10-minute window upon arrival. By developing an AI model that addresses these biases, the project seeks to improve the accuracy and speed of diagnosis, ultimately leading to better patient outcomes. The methodology involves analyzing clinical data and implementing AI-driven decision support tools to streamline the screening process.
Why it matters
Potential benefit: If successful, this research could significantly reduce mortality rates from heart attacks by ensuring faster and more accurate diagnoses for all patients.
How similar studies have gone: Previous research has shown that AI-based approaches can improve diagnostic accuracy and reduce treatment delays in various medical conditions, indicating a promising potential for success in this area.
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.
Related research
Other NIH-funded projects on the same topics.
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AI screening to speed STEMI diagnosis in ED patients
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.
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A new behavioral program to boost activity after a heart event
A new program uses friendly telephone coaching to help people recover after a heart attack by being more active and feeling more hopeful.
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Helping people stay active after a heart attack
This project is testing a new way to help people who have had a heart attack become more physically active using phone calls and positive thinking exercises.
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Improving emergency care for heart attack patients in rural areas
This study is working on a helpful mobile app for paramedics in rural areas to make sure they can give the best care to heart attack patients before they get to the hospital, aiming to speed up treatment and improve outcomes.
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Coaching program to reduce depression and improve health after heart attacks
This study is testing a friendly coaching program called Behavioral Activation for Health and Depression (BA-HD) to help heart patients who are also feeling depressed, by encouraging better habits like taking their medicine, being active, and eating well, and it will compare this program to regular care to see how well
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How health insurance deductibles affect care for chest pain and heart conditions
This study looks at how high deductible health insurance plans affect people with chest pain and heart issues, especially how costs might make them think twice about getting emergency care, and it aims to help improve healthcare policies for better patient outcomes.
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.