Deep learning in rib fracture imaging: study quality assessment using the Must AI Criteria-10 (MAIC-10) checklist for artificial intelligence in medical imaging

Deep learning in rib fracture imaging: study quality assessment using the Must AI Criteria-10 (MAIC-10) checklist for artificial intelligence in medical imaging

Abstract Objectives To analyze the methodological quality of studies on deep learning (DL) in rib fracture imaging with the Must AI Criteria-10 (MAIC-10) checklist, and to report insights and experiences regarding the applicability of the MAIC-10 checklist. Materials and methods An electronic litera...

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Main Authors: Jonas M. Getzmann, Kitija Nulle, Cinzia Mennini, Umberto Viglino, Francesca Serpi, Domenico Albano, Carmelo Messina, Stefano Fusco, Salvatore Gitto, Luca Maria Sconfienza
Format: Article
Language:English
Published: SpringerOpen 2025-08-01
Series:Insights into Imaging
Subjects:
Artificial intelligence
Deep learning
Checklist
Guideline
Fracture
Online Access:https://doi.org/10.1186/s13244-025-02046-x
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https://doi.org/10.1186/s13244-025-02046-x

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