AI-Enhanced Analysis of Built Environment Imagery and Neighborhood Obesity in US Cities.

ABSTRACT:

Importance

Obesity prevalence is a significant public health issue, particularly in urban areas. While social factors are known risks, using artificial intelligence (AI) to scalably assess the association of the built environment with obesity prevalence is an emerging area critical for targeted interventions.

Objective

To investigate whether AI analysis of satellite and street view imagery is associated with improved estimates of neighborhood obesity prevalence beyond conventional demographic and socioeconomic (DSE) and social determinants of health (SDOH) factors.

Design, setting, and participants

This cross-sectional study used an AI-enhanced modeling framework. Data from the 2023 Centers for Disease Control and Prevention (CDC) PLACES dataset and 2019 American Comm

SUBMITTER: Chen Z 

PROVIDER: S-EPMC12485642 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature