AI tool to screen AV fistula stenosis using stethoscope sounds in dialysis patients
Official title: Optimization and Validation of an AI Model that Screens for Arteriovenous Fistula Stenosis in Dialysis Patients using Sound Files from a Digital Stethoscope
Funded at Weill Medical Coll of Cornell Univ · NIH-11333306 · Data updated 2026-11-12
A new AI tool uses sound recordings from a digital stethoscope to screen for narrowing in dialysis fistulas, helping clinicians catch problems earlier.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | June 1, 2025 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $503,160 |
| NIH project number | 5R01EB036037-02 |
| Project ID | NIH-11333306 on NIH RePORTER |
Who could benefit from this research
✓Could help
Patients with arteriovenous fistulas on dialysis who can undergo sound recording with a digital stethoscope.
✕Less likely to help
Patients without AV fistulas or those unable to perform the sound recording procedure.
What this research studies
This project will train an AI model on a broader set of sound recordings from dialysis patients with arteriovenous fistulas and compare the AI’s stenosis predictions to angiography, the current gold standard. It will also assess how well a trained technician versus the patient themselves can use the system in real-world clinic settings. The goal is to determine if a simple, noninvasive sound test could reliably flag patients who need further imaging or intervention. If successful, the approach could streamline care and reduce delays in identifying AV fistula problems.
Why it matters
Potential benefit: If successful, patients could benefit from faster, noninvasive screening that flags issues early and potentially reduces unnecessary procedures.
How similar studies have gone: Prior work with AI-based audio screening has shown promise, but this project directly validates against angiography in dialysis patients.
Where this research is happening
-
Weill Medical Coll of Cornell Univ
New York, United States Active
Researchers
- Principal investigator: Mosadegh, Bobak — Weill Medical Coll of Cornell Univ
- Study coordinator: Mosadegh, Bobak
Related research
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-
Using AI to detect narrowing in dialysis patients' blood vessels through sound recordings
This study is testing a new AI tool that listens to sounds from dialysis patients' arteriovenous fistulas to see if it can spot problems like stenosis, and it aims to find out if this tool can be used just as well by trained technicians and patients as the current standard method.
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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.