Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments D...
Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound Images
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United States: Elsevier Inc
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Language
English
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United States: Elsevier Inc
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Contents
We develop and evaluate an artificial intelligence (AI)-based algorithm that uses pre-rotation atherectomy (RA) intravascular ultrasound (IVUS) images to automatically predict regions debulked by RA. A total of 2106 IVUS cross-sections from 60 patients with de novo severely calcified coronary lesions who underwent IVUS-guided RA were consecutively...
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Full title
Development and Validation of Artificial Intelligence-Based Algorithms for Predicting the Segments Debulked by Rotational Atherectomy Using Intravascular Ultrasound Images
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TN_cdi_proquest_miscellaneous_3060383919
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_3060383919
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ISSN
0002-9149,1879-1913
E-ISSN
1879-1913
DOI
10.1016/j.amjcard.2024.05.027
