Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
2018 · European Heart Journal · 517 citations
https://doi.org/10.1093/eurheartj/ehy404
A
Ashley Beecy
Sutter Health(US)
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Ashley Beecy is an academic researcher from Sutter Health. The author has contributed to research in topics: Cardiac Imaging and Diagnostics & Artificial Intelligence in Healthcare and Education & Cardiovascular Function and Risk Factors. The author has an h-index of 16, co-authored 51 publications.
ORCID: 0000-0002-1504-1169Papers by this author
worksMachine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification
2019 · Journal of Cardiovascular Magnetic Resonance · 87 citations
https://doi.org/10.1186/s12968-018-0509-0
Detecting structural heart disease from electrocardiograms using AI
2025 · Nature · 47 citations
https://doi.org/10.1038/s41586-025-09227-0
Rethinking clinical trials for medical AI with dynamic deployments of adaptive systems
2025 · npj Digital Medicine · 23 citations
https://doi.org/10.1038/s41746-025-01674-3
Utilizing electronic health data and machine learning for the prediction of 30-day unplanned readmission or all-cause mortality in heart failure
2020 · Cardiovascular Digital Health Journal · 18 citations
https://doi.org/10.1016/j.cvdhj.2020.07.004
Strengthening the use of artificial intelligence within healthcare delivery organizations: balancing regulatory compliance and patient safety
2024 · Journal of the American Medical Informatics Association · 9 citations
https://doi.org/10.1093/jamia/ocae119
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