Researchers used Google Street View to study the built environment and its impact on coronary artery disease. The study, published in the European Heart Journal, revealed that features visible in these images can predict 63% of the variation in the risk of cardiovascular disease between different areas. Factors like green spaces and walkable roads were associated with lower risk, while poorly paved roads were linked to higher risk. Professors leading the study believe that using computer vision approaches can help in understanding and addressing cardiovascular risk factors in urban planning. This research highlights the importance of considering the environment in promoting heart-healthy urban environments.
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