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Development of image-based decision support systems utilizing information extracted from radiological free-text report databases with text-based transformers
14
Zitationen
10
Autoren
2023
Jahr
Abstract
• The amount of data from a database that can be used to develop AI-assisted diagnostic decision systems is often limited by the need for time-consuming identification of pathologies by radiologists. • The transformer-based structuring of free-text radiological reports shows potential to unlock corresponding image databases for on-site development of image-based diagnostic decision support systems. • However, the quality of image annotations generated solely on the content of a single radiology report may be limited by potential inaccuracies and incompleteness of this report.
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