AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk
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View abstract on PubMed
Summary
This summary is machine-generated.Satellite imagery analysis reveals built environment impacts cardiovascular health. AI-driven built environment risk scores predict major adverse cardiovascular events (MACE), but social vulnerability influences this association.
Area Of Science
- Cardiovascular Health
- Environmental Science
- Artificial Intelligence
Background
- The built environment significantly influences cardiovascular health.
- Current microscale measures for assessing the built environment are limited for population health and resource allocation.
- Scalable assessment methods are needed to understand the built environment's impact on cardiovascular health.
Purpose Of The Study
- To investigate the association between satellite image-derived built environment features and the risk of major adverse cardiovascular events (MACE).
- To explore the utility of AI-enhanced satellite imagery for cardiovascular risk assessment.
Main Methods
- Deep neural networks analyzed Google Satellite Imagery (GSI) to extract built environment features for over 64,000 patients.
- Elastic net regularized Cox proportional hazards models identified associations between GSI features and MACE risk.
- A composite GSI risk score was developed and assessed for its association with MACE, adjusting for coronary artery calcium (CAC) scores and social vulnerability index (SVI).
Main Results
- A composite GSI risk score was significantly associated with higher MACE risk (HR: 2.67), independent of CAC and traditional risk factors.
- The association between the GSI risk score and MACE risk was attenuated when the social vulnerability index (SVI) was included (HR: 1.54).
- Patients in the highest quartile of the GSI risk score had a 56% higher observed risk of MACE compared to the lowest quartile.
Conclusions
- AI-enhanced satellite imagery of the built environment is linked to MACE risk, independent of traditional factors and CAC.
- Social determinants of health, represented by SVI, influence the association between the built environment and MACE risk.
- Satellite image-based assessment offers a rapid, scalable approach for cardiovascular risk prediction, meriting further investigation.
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