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Editorial
. 2023 Nov;33(11):7494-7495.
doi: 10.1007/s00330-023-10242-w. Epub 2023 Oct 2.

From data to insights: how natural language processing and structured reporting advance data-driven radiology

Matthias A Fink  1   2
Affiliations
Editorial

From data to insights: how natural language processing and structured reporting advance data-driven radiology

Matthias A Fink. Eur Radiol. 2023 Nov.
No abstract available

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Conflict of interest statement

The author of this manuscript declares no relationships with any companies, whose products or services may be related to the subject matter of the article.

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References

    1. Vaswani A, Shazeer N, Parmar N, et al (2023) Attention is all you need. http://arxiv.org/abs/1706.03762. Accessed 30 Aug 2023
    1. Chowdhary KR (2020) Natural language processing. In: Chowdhary KR (ed) Fundamentals of Artificial Intelligence. Springer India, New Delhi, pp 603–649
    1. Fink MA, Mayer VL, Schneider T, et al. CT angiography clot burden score from data mining of structured reports for pulmonary embolism. Radiology. 2022;302:175–184. doi: 10.1148/radiol.2021211013. - DOI - PubMed
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    1. Fink MA, Kades K, Bischoff A, et al. Deep learning–based assessment of oncologic outcomes from natural language processing of structured radiology reports. Radiol Artif Intell. 2022;4:e220055. doi: 10.1148/ryai.220055. - DOI - PMC - PubMed

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