Toward Reliable Lesion Labeling Standards for AI in Nuclear Medicine

Remco J. Poelarends; Jorn A. van Dalen; Riemer H. J. A. Slart; Brian N. Vendel; Walter Noordzij; Joris David van Dijk

doi:10.2967/jnumed.125.271329

Toward Reliable Lesion Labeling Standards for AI in Nuclear Medicine

Journal of Nuclear Medicine 2026 Open access

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Authors: Remco J. Poelarends, Jorn A. van Dalen, Riemer H. J. A. Slart, Brian N. Vendel, Walter Noordzij, Joris David van Dijk

DOI: 10.2967/jnumed.125.271329

Cited by: 0

References: 5

Abstract

TO THE EDITOR: With keen interest, we read the special contribution entitled “Recommendations for Standardizing Nuclear Medicine Terminology and Data in the Era of Theranostics and Artificial Intelligence” by Bradshaw et al. ([1][1]). The authors present highly relevant recommendations as the

Fields of Study & Subjects

Medical Imaging Techniques and Applications Artificial Intelligence in Healthcare and Education Radiomics and Machine Learning in Medical Imaging

Publication details

Journal / source: Journal of Nuclear Medicine
Volume: 67
Issue: 5
Pages: 828–829
Publication date: 5 March 2026
Language: EN

References 5