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Explainable artificial intelligence (XAI) in radiology and nuclear medicine: a literature review
83
Zitationen
6
Autoren
2023
Jahr
Abstract
There is currently no clear consensus on how XAI should be deployed in order to close the gap between medical professionals and DL algorithms for clinical implementation. We advocate for systematic technical and clinical quality assessment of XAI methods. Also, to ensure end-to-end unbiased and safe integration of XAI in clinical workflow, (anatomical) data minimization and quality control methods should be included.
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