Using AI to improve cardiovascular risk assessment by analyzing sleep data
Applying Innovative Artificial Intelligence Approaches to a Large Sleep Physiologic Biorepository to Integrate Sleep Disruption in Cardiovascular Risk Calculation
This study is looking at how artificial intelligence can help us better understand sleep problems and their effects on heart health, so that people with sleep issues can get more personalized care and better predictions about their heart risks.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Cleveland Clinic Lerner Com-Cwru NIH-funded |
| Lab location | 1 site (Cleveland, United States) |
| Project ID | NIH-10912772 on NIH RePORTER |
What this research studies
This research investigates how artificial intelligence can enhance the understanding of sleep disorders and their impact on cardiovascular health. By analyzing a large collection of sleep data, the study aims to identify various sleep disruptions, such as obstructive sleep apnea and other sleep-related issues, that contribute to cardiovascular risks. The approach involves integrating complex sleep physiology with cardiovascular risk calculations to provide a more accurate assessment of individual risk factors. Patients may benefit from improved risk prediction and tailored interventions based on their unique sleep profiles.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals experiencing sleep disorders, particularly those with obstructive sleep apnea or other sleep-related issues that may affect cardiovascular health.
Not a fit: Patients without any sleep disorders or those who do not have cardiovascular risk factors may not receive benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate cardiovascular risk assessments and better prevention strategies for patients with sleep disorders.
How similar studies have performed: Previous research has shown promise in using AI to analyze health data, suggesting that this approach could yield significant insights into cardiovascular risk related to sleep disorders.
Where this research is happening
Cleveland, United States
- Cleveland Clinic Lerner Com-Cwru — Cleveland, United States (Active)
Researchers
- Principal investigator: Lima Diniz Araujo, Matheus — Cleveland Clinic Lerner Com-Cwru
- Study coordinator: Lima Diniz Araujo, Matheus
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.