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

Br J Radiol. 2023 Oct 31:20230505. doi: 10.1259/bjr.20230505. Online ahead of print.ABSTRACTIncidental 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.PMID:37906185 | DOI:10.1259/bjr.20230505

Source: The British Journal of Radiology - October 31, 2023 Category: Radiology Authors: Thomas C Kwee Derya Yakar Tim E Sluijter Jan P Pennings Christian Roest Source Type: research