Using AI to improve diagnosis and management of sleep apnea
Official title: Physiology guided AI for going beyond the AHI in Sleep Apnea
Funded at Icahn School of Medicine at Mount Sinai · NIH-11019805 · Data updated 2026-11-12
This study is looking at new ways to understand and treat obstructive sleep apnea by using advanced technology to create better risk scores that can help predict health outcomes for patients, making it easier to manage the condition.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | February 1, 2024 |
| Project end | January 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $749,613 |
| NIH project number | 5R01HL171813-02 |
| Project ID | NIH-11019805 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with obstructive sleep apnea or those experiencing symptoms related to the condition.
✕Less likely to help
Patients without any symptoms of sleep apnea or those who have not been diagnosed with the condition may not benefit from this research.
What this research studies
This research focuses on enhancing the understanding and treatment of obstructive sleep apnea (OSA) by moving beyond traditional measures like the apnea-hypopnea index (AHI). It employs a novel AI and machine learning approach that integrates various physiological factors related to OSA, such as ventilatory, hypoxic, and arousal burdens, to create more accurate risk assessments for patients. By analyzing data from a large cohort, the study aims to develop reliable probability scores that predict both short- and long-term health outcomes associated with OSA. This innovative methodology seeks to provide clearer insights into the condition, potentially leading to better management strategies for patients.
Why it matters
Potential benefit: If successful, this research could lead to more accurate diagnoses and improved treatment options for patients with sleep apnea, ultimately enhancing their quality of life.
How similar studies have gone: Other research has shown promise in using AI and machine learning for health assessments, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
-
Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Parekh, Ankit Ashok — Icahn School of Medicine at Mount Sinai
- Study coordinator: Parekh, Ankit Ashok
Related research
Other NIH-funded projects on the same topics.
-
Improving WTC responder mental health with personalized sleep treatment for COMISA
Aimed at helping World Trade Center responders who have both insomnia and sleep apnea feel better by using a tailored combination of sleep therapies.
-
Central sleep apnea: how combined therapies could help you breathe better
This NIH grant explores how a combination of therapies, including a breathing device and a drug, might reduce central sleep apnea for people with heart failure or opioid use, by targeting the body’s breathing control system.
-
Mechanisms of sex-specific responses to sleep apnea therapies
A research project at NYU School of Medicine is exploring how men and women may respond differently to treatments for obstructive sleep apnea and related heart risk.
-
Deep learning to predict obstruction site and guide sleep apnea treatment
A patient-focused project uses snoring sounds and AI to predict where your airway collapses during sleep and to guide personalized treatments.
-
Personalized DISE-guided surgery for sleep apnea in children with Down syndrome
A personalized surgical approach guided by DISE sleep-endoscopy is being tested to better treat sleep apnea in children with Down syndrome who don’t always improve after standard surgery.
-
Biomarkers to understand obstructive sleep apnea using microRNAs
A study at the University of Pennsylvania will look for microRNA signs in the blood that reflect how bad sleep apnea is and how well CPAP therapy works for patients.
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.