AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk
Authors' conclusion
AI-enhanced satellite images of the built environment were linked to MACE risk, independently of traditional risk factors and CAC, but this was influenced by social determinants of health, represented by SVI.
Study context
- Population
- Patients in Northern Ohio undergoing coronary artery calcium (CAC) scoring
- Participants
- 64,230 patients
- Exposure
- Google Satellite Imagery (GSI) risk score and major adverse cardiovascular events (MACE) risk
- Outcome
- MACE:
- MI
- Stroke
- HF
- Death
Main finding
As reported in the abstract
MACE per GSI risk score
Hazard ratio (95% CI)P value
GSI risk scoreadjusted for CAC and traditional risk factors
2.67(1.63–4.38)
P < 0.001GSI risk scorefurther adjusted for SVI
1.54(0.91–2.60)
P = 0.11Q4vs Q156% higher observed risk
1.56(1.32–1.86)
P < 0.005Observational data: associations, not effects.
Further findings
MACE per GSI risk score, by CAC (subgroup)
- Strongest association with CAC = 0; attenuated but significant with higher CAC
Original publication
AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk. J Am Coll Cardiol. Published 29 October 2024. doi:10.
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