Deep learning in rib fracture imaging: study quality assessment using the Must AI Criteria-10 (MAIC-10) checklist for artificial intelligence in medical imaging
Quality control systems are needed for research on AI in medical imaging. The MAIC-10 checklist is a valid tool to assess AI in medical imaging research quality. Checklist items such as "study design", "explainability", and "transparency" are frequently addressed incomprehensively.
Authors
- Domenico Albano (ORCID: https://orcid.org/0000-0001-7989-9861)
- Carmelo Messina (ORCID: https://orcid.org/0000-0001-7518-5773)
- Umberto Viglino (ORCID: https://orcid.org/0009-0001-2185-529X)
- Jonas M. Getzmann (ORCID: https://orcid.org/0000-0003-1625-8826)
- Stefano Fusco (ORCID: https://orcid.org/0000-0001-6093-4567)
- Francesca Serpi (ORCID: https://orcid.org/0000-0001-6796-1728)
- Luca Maria Sconfienza (ORCID: https://orcid.org/0000-0003-0759-8431)
- Salvatore Gitto (ORCID: https://orcid.org/0000-0002-3623-7822)
- Cinzia Mennini
- Kitija Nulle
Institutions
- University of Milan (IT)
- Riga East University Hospital (LV)
- IRCCS Ospedale Galeazzi - Sant'Ambrogio (IT)
- Istituto Ortopedico Gaetano Pini (IT)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-08-09
- DOI
- https://doi.org/10.1186/s13244-025-02046-x
- Citations
- 2
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Ministero della Salute
- Gottfried und Julia Bangerter-Rhyner-Stiftung