Peer-Reviewed Publication
Diagnostics (Basel)2025;15(12)June 19, 2025Journal Article
An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening.
Suzanne L van Winkel1,2, Ioannis Sechopoulos1,3,4, Alejandro Rodríguez-Ruiz5, Wouter J H Veldkamp6, Gisella Gennaro7, Margarita Chevalier8, Thomas H Helbich9, Tianyu Zhang1,10, Matthew G Wallis11, Ritse M Mann1,10
1Radboudumc-Radboud University Nijmegen Medical Centre, Medical Imaging Department, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, The Netherlands.
2Amsterdam UMC, Location VUmc (Vrije Universiteit Medical Center), Faculty of Medicine, Department of Ethics, Law & Humanities, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands.
3LRCB-Dutch Expert Centre for Screening, Wijchenseweg 101, 6538 SW Nijmegen, The Netherlands.
4Technical Medicine Centre, University of Twente, Hallenweg 5, 7522 NH Enschede, The Netherlands.
5ScreenPoint Medical BV, Toernooiveld 300, 6525 EC Nijmegen, The Netherlands.
6Leiden University Medical Center, Department of Radiology, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
7Veneto Institute of Oncology (IOV), Department of Imaging and Radiotherapy, Unit of Breast Radiology, IRCCS, via Gattamelata 64, 35128 Padua, Italy.
8Department of Radiology and Medical Physics, Universidad Complutense de Madrid, 28040 Madrid, Spain.
9Department of Biomedical Imaging and Image-Guided Therapy, Division of General and Pediatric Radiology, Medical University of Vienna and General Hospital, Waehringer Guertel 18-20, A-1090 Vienna, Austria.
10Netherlands Cancer Institute, Antoni van Leeuwenhoek (NKI), Department of Radiology, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands.
11Cambridge Breast Unit and NIHR Cambridge Biomedical Research Centre, Addenbrooke's Hospital, Cambridge CB2 2QQ, UK.
Abstract
Background: The integration of artificial intelligence (AI) in digital mammography (DM) screening holds promise for early breast cancer detection, potentially enhancing accuracy and efficiency. However, AI performance is not identical to that of human observers. We aimed to identify common morphological image characteristics of true cancers that are missed by either AI or human screening when thei…
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