Artificial intelligence-enhanced exposomics: novel insights into cardiovascular health

Author:

Khera Rohan1234ORCID

Affiliation:

1. Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine , 195 Church St, 6th Floor, New Haven, CT 06510 , USA

2. Section of Health Informatics, Department of Biostatistics, Yale School of Public Health , New Haven, CT , USA

3. Section of Biomedical Informatics and Data Science, Yale School of Medicine , New Haven, CT , USA

4. Center for Outcomes Research and Evaluation, Yale-New Haven Hospital , New Haven, CT , USA

Funder

National Heart, Lung, and Blood Institute of the National Institutes of Health

Doris Duke Charitable Foundation

Publisher

Oxford University Press (OUP)

Reference15 articles.

1. Neighborhoods and cardiovascular health: a scientific statement from the American Heart Association;Kershaw;Circ Cardiovasc Qual Outcomes,2024

2. Neighborhood environmental burden and cardiovascular health in the US;Liu;JAMA Cardiol,2024

3. Association of access to exercise opportunities and cardiovascular mortality;Angraal;Am Heart J,2019

4. Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence;Chen;Eur Heart J,2024

5. Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States;Gebru,2017

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