Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

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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Bibliographic Details
Main Authors: Ioanna Chouvarda, Sara Colantonio, Ana S. C. Verde, Ana Jimenez-Pastor, Leonor Cerdá-Alberich, Yannick Metz, Lithin Zacharias, Shereen Nabhani-Gebara, Maciej Bobowicz, Gianna Tsakou, Karim Lekadir, Manolis Tsiknakis, Luis Martí-Bonmati, Nikolaos Papanikolaou
Format: Article
Language:English
Published: SpringerOpen 2025-01-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Diagnostic imaging
Neoplasms
Research design
Surveys and questionnaires
Online Access:https://doi.org/10.1186/s41747-024-00543-0
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