Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!
Abstract Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validation strategies, examining existing practic...
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Main Authors: | , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2025-01-01
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Series: | European Radiology Experimental |
Subjects: | |
Online Access: | https://doi.org/10.1186/s41747-024-00543-0 |
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