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Artificial intelligence-generated smart impression from 9.8-million radiology reports as training datasets from multiple sites and imaging modalities

2024-03-09

Abstract excerpt

<h4>Importance</h4> Automatic generation of the impression section of radiology report can help make radiologists efficient and avoid reporting errors. <h4>Objective</h4> To evaluate the relationship, content, and accuracy of an Powerscribe Smart Impression (PSI) against the radiologists’ reported findings and impression (RDF). <h4>Design, Setting, and Participants</h4> The institutional review board approved retr...

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Literature Corpus work
59a42ae5-43d9-5615-a5da-569d62818c3b
DOI
10.1101/2024.03.07.24303787
Open publication

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Artificial intelligence-generated smart impression from 9.8-million radiology reports as training datasets from multiple sites and imaging modalitiesDOI 10.1101/2024.03.07.24303787
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