Artificial intelligence-based assessment of built environment from Google Street View and coronary artery disease prevalence.

Journal: European heart journal
PMID: 38544295

Abstract

BACKGROUND AND AIMS: Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environment using machine vision and informatic approaches have been limited. This study aimed to investigate the association between machine vision-based built environment and prevalence of cardiometabolic disease in US cities.

Authors

  • Zhuo Chen
    State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Guizhou University, Huaxi District, Guiyang 550025, China. Electronic address: gychenzhuo@aliyun.com.
  • Jean-Eudes Dazard
    Harrington Heart and Vascular Institute, University Hospitals, 11100 Euclid Ave, Cleveland, OH 44106, USA.
  • Yassin Khalifa
    Department of Electrical and Computer Engineering, Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, USA.
  • Issam Motairek
    Harrington Heart and Vascular Institute, University Hospitals, 11100 Euclid Ave, Cleveland, OH 44106, USA.
  • Sadeer Al-Kindi
    Division of Cardiology, Department of Medicine (S.A.-K., F.N., G.F.A., M.A.C., D.I.S., M.S.A., J.A.M., S.G.T.), Case Western Reserve University, Harrington Heart and Vascular Institute, and University Hospitals Cleveland Medical Center, OH.
  • Sanjay Rajagopalan
    Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio, USA.

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