AI-powered echo help to speed up heart checks
Official title: Artificial Intelligence Enabled Diagnostic Support for Echocardiography
Funded at Icardio.ai · NIH-11313586 · Data updated 2026-11-12
A new AI tool helps doctors interpret heart ultrasound tests faster and more cheaply, so more patients can get timely heart care.
Quick facts
| Grant type | Sbir 1 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icardio.ai NIH-funded |
| Lab location | 1 site (Los Angeles, United States) |
| Project start | September 1, 2026 |
| Project end | August 31, 2027 |
| Funding year | 2026 |
| Award (this year) | $290,142 |
| NIH project number | 1R43HL184598-01 |
| Project ID | NIH-11313586 on NIH RePORTER |
Who could benefit from this research
✓Could help
Adults who undergo echocardiograms or point-of-care ultrasound for suspected or known cardiovascular disease.
✕Less likely to help
Patients without access to ultrasound devices or AI-enabled interpretation may not experience direct benefits.
What this research studies
This project aims to bring AI-assisted interpretation to echocardiography to support clinicians in diagnosing cardiovascular disease. It focuses on portable point-of-care ultrasound devices to extend access in smaller clinics and remote locations. The team will develop user-friendly AI algorithms that assist with reading echocardiograms, potentially reducing the need for highly specialized expertise in every setting.
Why it matters
Potential benefit: If successful, it could speed up accurate heart diagnoses and reduce costs for patients and clinics.
How similar studies have gone: Prior AI tools for echocardiography have shown promise but often remain limited in scope or require expert oversight; this study seeks broader, real-world applicability.
Where this research is happening
-
Icardio.ai
Los Angeles, United States Active
Researchers
- Principal investigator: Sandler, Roman — Icardio.ai
- Study coordinator: Sandler, Roman
Related research
Other NIH-funded projects on the same topics.
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Four-Chamber Echo Insights to Improve Cardiac Diagnosis
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-
AI-powered automatic echocardiography reporting for better heart care
A Mayo Clinic team is developing an AI-enabled system to automatically interpret echocardiograms and generate reports for patients with heart problems.
-
AI-powered echocardiography to spot common heart defects in newborns
A new AI tool analyzes infant heart ultrasound images to help non-specialist health workers identify five common, treatable heart defects early.
-
AI help for newborn heart ultrasound images in Sub‑Saharan Africa
This project uses AI to help health workers capture better heart ultrasound images so newborns in Sub‑Saharan Africa can get quicker, more accurate diagnosis of congenital heart defects.
-
AI-powered echocardiography reporting with visual-linguistic models
A Mayo Clinic physician aims to train and grow an AI-enabled system that helps automatically interpret echocardiograms and generate reports for patients with heart problems.
-
New approaches to making transesophageal echocardiography safer and easier for patients
A novel NIH-funded project aims to improve how transesophageal echocardiography (TEE) is done, reducing sedation risks and expanding access for adults who need heart imaging.
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.