Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy

This methodology is a promising first step toward development of a DCNN capable of accurately differentiating pre-diagnosis versus non-case echocardiograms to predict survivors more likely to develop cardiomyopathy.

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Publication Details

Journal
Cardio-Oncology
Published
2024-10-09
DOI
https://doi.org/10.1186/s40959-024-00268-4
Citations
2
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.80

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article

Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy

Ritu Sachdeva, Sanika A. Joshi, William L. Border, Lindsay A. Edwards et al.
2 citations
Cardio-Oncology
Cardiovascular Function and Risk Factors
0.80
article

Building a machine learning-assisted echocardiography prediction tool for children at risk for cancer therapy-related cardiomyopathy

Ritu Sachdeva, Sanika A. Joshi, William L. Border, Lindsay A. Edwards, Nancy Blythe, Kayla L. Stratton, Eric J. Chow, Paul Craig Nathan, Lahari Gorantla, Aarti Bhat, Saro H. Armenian, Shanti Narasimhan, Karim Thomas Sadak, Wendy M. Leisenring, Patrick M. Boyle, Sujatha Buddhe, Kasey J. Leger, Zih-Hua Chen, Lillian R. Meacham, Christina J. Yang, Nahom Wondwossen Worku, Surbhi Sharma, Nicolas J. Longhi, Brandy Martinez Di Pietro, Jamie S. Yang
article en
2 citations

Abstract

This methodology is a promising first step toward development of a DCNN capable of accurately differentiating pre-diagnosis versus non-case echocardiograms to predict survivors more likely to develop cardiomyopathy.

Cardio-OncologyVol. 10(1)
Seattle Children's Hospital (US), Children's National (US), Emory University (US), University of Toronto (CA), California Institute for Regenerative Medicine (US), University of Washington (US), Hospital for Sick Children (CA), Fred Hutch Cancer Center (US), City of Hope (US), Duke Medical Center (US), University of Minnesota Children's Hospital (US), Stanford University (US)
Rally Foundation, Seattle Children's Research Institute
Good health and well-being
Openalex Percentile: Top 23%
Cardiovascular Function and Risk Factors
0.80
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