An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening

An Exploration of Discrepant Recalls Between AI and Human Readers of Malignant Lesions in Digital Mammography Screening

<b>Background:</b> 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 identi...

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Main Authors: Suzanne L. van Winkel, Ioannis Sechopoulos, Alejandro Rodríguez-Ruiz, Wouter J. H. Veldkamp, Gisella Gennaro, Margarita Chevalier, Thomas H. Helbich, Tianyu Zhang, Matthew G. Wallis, Ritse M. Mann
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
artificial intelligence
digital mammography
breast cancer detection
human vs. AI discrepancies
radiologist reader study
Online Access:https://www.mdpi.com/2075-4418/15/12/1566
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