Using AI to improve diagnosis and management of sleep apnea
Physiology guided AI for going beyond the AHI in Sleep Apnea
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 ID | NIH-11019805 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with obstructive sleep apnea or those experiencing symptoms related to the condition.
Not a fit: Patients without any symptoms of sleep apnea or those who have not been diagnosed with the condition may not benefit from this research.
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 performed: 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
New York, United States
- 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
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 below.