Diagnostic performance of machine learning algorithms in breast ultrasound: A systematic review and meta-analysis
Authors
Gianluca Sellaro
Department of Radiology, Humanitas Research Hospital, Milan, Italy
Department of Biomedical Sciences, Humanitas University, Milan, Italy
Pasquale Pellegrino
Department of Biomedical Sciences, Magna Graecia University of Catanzaro, Catanzaro, Italy
Department of Radiology, Mater Domini University Hospital, Catanzaro, Italy
Francesco Spinelli
UOS Breast Surgery, University Hospital Sant’Andrea, Rome, Italy
Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
Daniela Bernardi
Department of Radiology, Humanitas Research Hospital, Milan, Italy
Department of Biomedical Sciences, Humanitas University, Milan, Italy
DOI: https://doi.org/10.2478/pjmpe-2026-0022 | Journal eISSN: 1898-0309 (formerly 1425-4689) | Journal ISSN: 1425-4689
Language: English
Page range: 206 - 226
Submitted on: Jun 30, 2026
Accepted on: Aug 26, 2026
Published online: Sep 30, 2026
Published in print: Sep 1, 2026
Published by: Polish Society of Medical Physics
In partnership with: Paradigm Publishing Services
Keywords:
Related subjects:
© 2026 Gianluca Sellaro, Pasquale Pellegrino, Francesco Spinelli, Daniela Bernardi, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.