A Pipeline for Automated Quality Control of Chest Radiographs

Ian A Selby; Eduardo González Solares; Anna Breger; Michael Roberts; Lorena Escudero Sánchez; Judith Babar; James H F Rudd; Nicholas A Walton; Evis Sala; Carola-Bibiane Schönlieb; Jonathan R Weir-McCall; AIX-COVNET Collaboration

doi:10.1148/ryai.240003

A Pipeline for Automated Quality Control of Chest Radiographs

Radiol Artif Intell. 2025 May;7(3):e240003. doi: 10.1148/ryai.240003.

Authors

Ian A Selby^{1

2}, Eduardo González Solares³, Anna Breger^{4

5}, Michael Roberts^{4

6}, Lorena Escudero Sánchez^{1

7}, Judith Babar^{1

2}, James H F Rudd⁶, Nicholas A Walton³, Evis Sala^{1

7

8

9}, Carola-Bibiane Schönlieb^#⁴, Jonathan R Weir-McCall^#^{1

2

10

11}; AIX-COVNET Collaboration¹²

Affiliations

¹ Department of Radiology, University of Cambridge, 218 Cambridge Biomedical Campus, Cambridge CB2 0QQ, England.
² Department of Radiology, Cambridge University Hospitals National Health Services Trust, Cambridge Biomedical Campus, Cambridge, England.
³ Institute of Astronomy, University of Cambridge, Cambridge, England.
⁴ Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, England.
⁵ Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
⁶ School of Clinical Medicine, University of Cambridge, Cambridge Biomedical Campus, Cambridge, England.
⁷ Cancer Research UK Cambridge Centre, Cambridge Biomedical Campus, Cambridge, England.
⁸ Department of Diagnostic Imaging and Oncological Radiotherapy, Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
⁹ Department of Radiological and Hematological Sciences, Universita Cattolica del Sacro Cuore, Rome, Italy.
¹⁰ Department of Radiology, Royal Papworth Hospital, Cambridge, England.
¹¹ Department of Cardiovascular Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, London, England.
¹² Members of the AIX-COVNET Collaboration are listed at the end of this article.

^# Contributed equally.

PMID: 40042404
PMCID: PMC12127945 (available on 2026-05-01)
DOI: 10.1148/ryai.240003

Abstract

This article presents a suite of quality control tools for chest radiographs based on traditional and artificial intelligence methods, developed and tested with data from 39 centers in seven countries.

Keywords: Artificial Intelligence; Automated Data Curation; Automated Quality Control; Data Standardization; Thoracic Radiography.

Publication types

Research Support, Non-U.S. Gov't

Grants and funding

WT_/Wellcome Trust/United Kingdom