Improving cochlear implant outcomes using artificial intelligence.
Official title: Precision Medicine in Cochlear Implantation: Leveraging Artificial Intelligence and Novel Variables for Performance.
Funded at Washington University · NIH-11033660 · Data updated 2026-11-12
This study is working on a helpful tool that uses artificial intelligence to predict how well people with hearing loss might do with cochlear implants, so doctors can better support and prepare patients before their surgery.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | December 1, 2024 |
| Project end | November 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $188,850 |
| NIH project number | 1K23DC022345-01 |
| Project ID | NIH-11033660 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are adults over 21 years old who are considering cochlear implantation due to significant hearing loss.
✕Less likely to help
Patients who are not candidates for cochlear implants or those with mild hearing loss may not benefit from this research.
What this research studies
This research aims to create a clinical decision support tool that uses artificial intelligence to predict how well patients will perform with cochlear implants. By analyzing various clinical and biological factors, the tool will help identify patients at risk of poor speech perception outcomes before they receive their implants. This proactive approach seeks to enhance patient counseling and rehabilitation strategies, ultimately leading to better individualized care. The research will involve collecting data from patients and validating the prediction model to ensure its reliability and effectiveness.
Why it matters
Potential benefit: If successful, this research could lead to improved cochlear implant outcomes and enhanced quality of life for patients with hearing loss.
How similar studies have gone: Similar research has shown promise in using predictive models for other medical interventions, indicating potential success for this novel approach in cochlear implantation.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Shew, Matthew — Washington University
- Study coordinator: Shew, Matthew
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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.