Can we revolutionize diagnostic imaging by keeping Pandora's box closed?

Thomas C Kwee*, Derya Yakar, Tim E Sluijter, Jan P Pennings, Christian Roest

*Bijbehorende auteur voor dit werk

Onderzoeksoutputpeer review

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Incidental imaging findings are a considerable health problem, because they generally result in low-value and potentially harmful care. Healthcare professionals struggle how to deal with them, because once detected they can usually not be ignored. In this opinion article, we first reflect on current practice, and then propose and discuss a new potential strategy to pre-emptively tackle incidental findings. The core principle of this concept is to keep the proverbial Pandora's box closed, i.e. to not visualize incidental findings, which can be achieved using deep learning algorithms. This concept may have profound implications for diagnostic imaging.

Originele taal-2English
Artikelnummer20230505
Aantal pagina's9
TijdschriftBritish journal of radiology
Volume96
Nummer van het tijdschrift1152
Vroegere onlinedatum31-okt.-2023
DOI's
StatusPublished - 1-dec.-2023

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