Building a Novel Artificial Intelligence–Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System

Budhaditya Bose; Sara A. Butt; Hassan B. Arshad; Charlie C. Nicolas; Rakesh Gullapelli; Nwabunie Nwana; Zulqarnain Javed; Izza Shahid; Payam Pournazari; Kershaw V. Patel; M. A. Chamsi Pasha; Stephen H. Little; Nadeen S. Faza; Stephen Jones; M. A. Cainzos; Sadeer Al-Kindi; Jean Michel Saad; William Zoghbi; Sherif F. Nagueh; Khurram Nasir

doi:10.1016/j.echo.2024.05.018

Building a Novel Artificial Intelligence–Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System

Budhaditya Bose, Sara A. Butt, Hassan B. Arshad, Charlie C. Nicolas, Rakesh Gullapelli, Nwabunie Nwana, Zulqarnain Javed, Izza Shahid, Payam Pournazari, Kershaw V. Patel, M. A. Chamsi Pasha, Stephen H. Little, Nadeen S. Faza, Stephen Jones, M. A. Cainzos, Sadeer Al-Kindi, Jean Michel Saad, William Zoghbi, Sherif F. Nagueh, Khurram Nasir

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Original language	English (US)
Pages (from-to)	916-918
Number of pages	3
Journal	Journal of the American Society of Echocardiography
Volume	37
Issue number	9
DOIs	https://doi.org/10.1016/j.echo.2024.05.018
State	Published - Sep 2024

Keywords

AI
Big data
Data engineering
Ejection fraction
Machine learning
NLP

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging
Cardiology and Cardiovascular Medicine

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10.1016/j.echo.2024.05.018

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Bose, B., Butt, S. A., Arshad, H. B., Nicolas, C. C., Gullapelli, R., Nwana, N., Javed, Z., Shahid, I., Pournazari, P., Patel, K. V., Chamsi Pasha, M. A., Little, S. H., Faza, N. S., Jones, S., Cainzos, M. A., Al-Kindi, S., Saad, J. M., Zoghbi, W., Nagueh, S. F., & Nasir, K. (2024). Building a Novel Artificial Intelligence–Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System. Journal of the American Society of Echocardiography, 37(9), 916-918. https://doi.org/10.1016/j.echo.2024.05.018

Bose, B, Butt, SA, Arshad, HB, Nicolas, CC, Gullapelli, R, Nwana, N, Javed, Z, Shahid, I, Pournazari, P, Patel, KV , Chamsi Pasha, MA , Little, SH , Faza, NS , Jones, S, Cainzos, MA, Al-Kindi, S, Saad, JM, Zoghbi, W , Nagueh, SF & Nasir, K 2024, 'Building a Novel Artificial Intelligence–Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System', Journal of the American Society of Echocardiography, vol. 37, no. 9, pp. 916-918. https://doi.org/10.1016/j.echo.2024.05.018

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title = "Building a Novel Artificial Intelligence–Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System",

keywords = "AI, Big data, Data engineering, Ejection fraction, Machine learning, NLP",

author = "Budhaditya Bose and Butt, \{Sara A.\} and Arshad, \{Hassan B.\} and Nicolas, \{Charlie C.\} and Rakesh Gullapelli and Nwabunie Nwana and Zulqarnain Javed and Izza Shahid and Payam Pournazari and Patel, \{Kershaw V.\} and \{Chamsi Pasha\}, \{M. A.\} and Little, \{Stephen H.\} and Faza, \{Nadeen S.\} and Stephen Jones and Cainzos, \{M. A.\} and Sadeer Al-Kindi and Saad, \{Jean Michel\} and William Zoghbi and Nagueh, \{Sherif F.\} and Khurram Nasir",

year = "2024",

month = sep,

doi = "10.1016/j.echo.2024.05.018",

language = "English (US)",

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AU - Bose, Budhaditya

AU - Butt, Sara A.

AU - Arshad, Hassan B.

AU - Nicolas, Charlie C.

AU - Gullapelli, Rakesh

AU - Nwana, Nwabunie

AU - Javed, Zulqarnain

AU - Shahid, Izza

AU - Pournazari, Payam

AU - Patel, Kershaw V.

AU - Chamsi Pasha, M. A.

AU - Little, Stephen H.

AU - Faza, Nadeen S.

AU - Jones, Stephen

AU - Cainzos, M. A.

AU - Al-Kindi, Sadeer

AU - Saad, Jean Michel

AU - Zoghbi, William

AU - Nagueh, Sherif F.

AU - Nasir, Khurram

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KW - Data engineering

KW - Ejection fraction

KW - Machine learning

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JO - Journal of the American Society of Echocardiography

JF - Journal of the American Society of Echocardiography

IS - 9

ER -

Building a Novel Artificial Intelligence–Driven Echocardiographic Data Pipeline: Findings From a Large Learning Health System

Keywords

ASJC Scopus subject areas

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