AI Analyzes Neighborhood Images to Estimate Heart Disease Rates and Guide Health Interventions
-
Researchers used AI and Google Street View images to analyze associations between neighborhood features and heart disease rates.
-
The study found AI could explain 63% of differences in heart disease prevalence across regions.
-
Machine learning models underestimated heart disease prevalence in some high-risk areas like Detroit.
-
While AI identified relevant features, socioeconomic factors proved more accurate for predicting prevalence.
-
The study demonstrates AI's potential for rapidly assessing cardiovascular risks in neighborhoods to guide public health interventions.