Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care

Damini Dey; Rima Arnaout; Sameer Antani; Aldo Badano; Louis Jacques; Huiqing Li; Tim Leiner; Edward Margerrison; Ravi Samala; Partho P. Sengupta; Sanjiv J. Shah; Piotr Slomka; Michelle C. Williams; W. Patricia Bandettini; Vandana Sachdev

doi:10.1016/j.jcmg.2023.05.012

Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care

Damini Dey, Rima Arnaout^*, Sameer Antani, Aldo Badano, Louis Jacques, Huiqing Li, Tim Leiner, Edward Margerrison, Ravi Samala, Partho P. Sengupta, Sanjiv J. Shah, Piotr Slomka, Michelle C. Williams, W. Patricia Bandettini, Vandana Sachdev

^*Corresponding author for this work

Medicine, Cardiology Division

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle of research, development, validation, and implementation to identify challenges and opportunities to further translation of AI in cardiovascular imaging. Furthermore, it seemed apparent that a multidisciplinary effort across institutions would be essential to overcome these challenges. This paper summarizes the proceedings of the National Heart, Lung, and Blood Institute–led workshop, creating consensus around needs and opportunities for institutions at several levels to support and advance research in this field and support future translation.

Original language	English (US)
Pages (from-to)	1209-1223
Number of pages	15
Journal	JACC: Cardiovascular Imaging
Volume	16
Issue number	9
DOIs	https://doi.org/10.1016/j.jcmg.2023.05.012
State	Published - Sep 2023

Keywords

AI algorithms
artificial intelligence
cardiovascular imaging
data science
deep learning
machine learning

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Cardiology and Cardiovascular Medicine

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10.1016/j.jcmg.2023.05.012

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Dey, D., Arnaout, R., Antani, S., Badano, A., Jacques, L., Li, H., Leiner, T., Margerrison, E., Samala, R., Sengupta, P. P., Shah, S. J., Slomka, P., Williams, M. C., Bandettini, W. P., & Sachdev, V. (2023). Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care. JACC: Cardiovascular Imaging, 16(9), 1209-1223. https://doi.org/10.1016/j.jcmg.2023.05.012

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abstract = "Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle of research, development, validation, and implementation to identify challenges and opportunities to further translation of AI in cardiovascular imaging. Furthermore, it seemed apparent that a multidisciplinary effort across institutions would be essential to overcome these challenges. This paper summarizes the proceedings of the National Heart, Lung, and Blood Institute–led workshop, creating consensus around needs and opportunities for institutions at several levels to support and advance research in this field and support future translation.",

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author = "Damini Dey and Rima Arnaout and Sameer Antani and Aldo Badano and Louis Jacques and Huiqing Li and Tim Leiner and Edward Margerrison and Ravi Samala and Sengupta, {Partho P.} and Shah, {Sanjiv J.} and Piotr Slomka and Williams, {Michelle C.} and Bandettini, {W. Patricia} and Vandana Sachdev",

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year = "2023",

month = sep,

doi = "10.1016/j.jcmg.2023.05.012",

language = "English (US)",

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Dey, D, Arnaout, R, Antani, S, Badano, A, Jacques, L, Li, H, Leiner, T, Margerrison, E, Samala, R, Sengupta, PP, Shah, SJ, Slomka, P, Williams, MC, Bandettini, WP & Sachdev, V 2023, 'Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care', JACC: Cardiovascular Imaging, vol. 16, no. 9, pp. 1209-1223. https://doi.org/10.1016/j.jcmg.2023.05.012

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AU - Dey, Damini

AU - Arnaout, Rima

AU - Antani, Sameer

AU - Badano, Aldo

AU - Jacques, Louis

AU - Li, Huiqing

AU - Leiner, Tim

AU - Margerrison, Edward

AU - Samala, Ravi

AU - Sengupta, Partho P.

AU - Shah, Sanjiv J.

AU - Slomka, Piotr

AU - Williams, Michelle C.

AU - Bandettini, W. Patricia

AU - Sachdev, Vandana

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N2 - Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle of research, development, validation, and implementation to identify challenges and opportunities to further translation of AI in cardiovascular imaging. Furthermore, it seemed apparent that a multidisciplinary effort across institutions would be essential to overcome these challenges. This paper summarizes the proceedings of the National Heart, Lung, and Blood Institute–led workshop, creating consensus around needs and opportunities for institutions at several levels to support and advance research in this field and support future translation.

AB - Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation in cardiovascular imaging is still rare despite increasing research. We sought to facilitate discussion across several fields and across the lifecycle of research, development, validation, and implementation to identify challenges and opportunities to further translation of AI in cardiovascular imaging. Furthermore, it seemed apparent that a multidisciplinary effort across institutions would be essential to overcome these challenges. This paper summarizes the proceedings of the National Heart, Lung, and Blood Institute–led workshop, creating consensus around needs and opportunities for institutions at several levels to support and advance research in this field and support future translation.

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Proceedings of the NHLBI Workshop on Artificial Intelligence in Cardiovascular Imaging: Translation to Patient Care

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ASJC Scopus subject areas

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