Using AI to quickly detect pulmonary embolism
Official title: Automated Sonographic Detection of Pulmonary Embolism Using Machine Learning Algorithm
Funded at University of Arizona · NIH-10852966 · Data updated 2026-11-12
This study is working on a smart computer program that helps doctors quickly and accurately find pulmonary embolism (PE) using a simple heart ultrasound, so even those who aren't specialists can help catch this serious condition early and get patients the treatment they need faster.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Arizona NIH-funded |
| Lab location | 1 site (Tucson, United States) |
| Project start | June 1, 2023 |
| Project end | May 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $300,318 |
| NIH project number | 5R21EB030677-02 |
| Project ID | NIH-10852966 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals presenting symptoms of acute pulmonary embolism who require rapid diagnosis and treatment.
✕Less likely to help
Patients who do not exhibit symptoms of pulmonary embolism or have already been diagnosed and treated may not benefit from this research.
What this research studies
This research aims to develop an artificial intelligence algorithm that enhances the early diagnosis of pulmonary embolism (PE), a condition that can be life-threatening if not identified quickly. The approach focuses on utilizing echocardiography, a non-invasive imaging technique, to detect PE at the point-of-care, allowing even non-experts to perform the assessment. By improving the accuracy and speed of diagnosis, the research seeks to reduce delays in treatment and ultimately save lives. The AI system is designed to be implemented in various healthcare settings, making it accessible for timely intervention.
Why it matters
Potential benefit: If successful, this research could significantly improve the early detection of pulmonary embolism, leading to better patient outcomes and reduced mortality rates.
How similar studies have gone: Previous research has shown promise in using AI for diagnostic purposes, indicating that this approach could lead to significant advancements in the detection of pulmonary embolism.
Where this research is happening
-
University of Arizona
Tucson, United States Active
Researchers
- Principal investigator: Adhikari, Srikar Reddy — University of Arizona
- Study coordinator: Adhikari, Srikar Reddy
Related research
Other NIH-funded projects on the same topics.
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AI-powered tool to better predict and manage acute pulmonary embolism
A new AI system uses imaging and patient data to improve how doctors predict short-term risk and tailor treatment for people with acute pulmonary embolism.
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Endovascular vortex ultrasound to treat blood clots in the lungs
A new therapy uses a tiny ultrasound device inside the blood vessels to rapidly dissolve clots in the lungs of people with pulmonary embolism, aiming to reduce the need for high doses of clot-busting drugs.
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Supplemental Oxygen for Pulmonary Embolism: A Mechanistic Look at How Oxygen Helps the Heart and Lungs
This NIH grant tests how giving extra oxygen affects lung pressure and heart strain in people with acute pulmonary embolism, with supportive animal studies to understand the biology.
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Pulmonary embolism: catheter-directed clot removal for better outcomes
This trial tests whether delivering clot-dissolving medication directly to the lungs via a catheter helps people with submassive pulmonary embolism feel better and function better, with fewer bleeding risks.
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Pulmonary embolism treatment with catheter-directed thrombus removal versus no catheter therapy
This study tests whether removing clot with a targeted catheter approach helps people with submassive pulmonary embolism feel better and move more easily, compared with not using catheter therapy.
-
Molecular and imaging study of blood clots and inflammation in pulmonary embolism
A research project uses a mouse model to understand how blood clots and inflammatory cells affect pulmonary embolism and its outcomes, with the goal of better diagnosis and treatment for people with PE.
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.