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This paper is in the following e-collection/theme issue:

Viewpoints on and Experiences with Digital Technologies in Health (269) Imaging Informatics (432) Breast Cancer (393) Artificial Intelligence (4485) Cancer Prognosis Models and Machine Learning (130) Medical imaging (170)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78955, first published .
AI vs human bias in mammogram analysis: brain vs neural network

Viewpoint on the Consequences and Mitigation of Cognitive Bias in the Radiological Interpretation of Breast Cancer Imaging Using Artificial Intelligence

Viewpoint on the Consequences and Mitigation of Cognitive Bias in the Radiological Interpretation of Breast Cancer Imaging Using Artificial Intelligence

Authors of this article:

Lorenzo Conti1 Author Orcid Image ;   Benedetta Capetti1, 2 Author Orcid Image ;   Ottavia Battaglia2, 3 Author Orcid Image ;   Roberto Grasso1, 2 Author Orcid Image ;   Filippo Pesapane3 Author Orcid Image ;   Dario Monzani1, 4, 5 Author Orcid Image ;   Gabriella Pravettoni1, 2 Author Orcid Image
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Journals

  1. Pesapane F, Rotili A, Penco S, Dominelli V, Priolo F, Marinucci I, Nicosia L, Grasso R, Pravettoni G, Cassano E. Explainable Artificial Intelligence in Mammography: A Systematic Review of Methods, Evaluation Practices, and Clinical Readiness. Diagnostics 2026;16(9):1412 View
  2. Pesapane F, Latronico A, Abbate F, Penco S, Rotili A, Dominelli V, Nicosia L, Monzani D, Grasso R, Pravettoni G, Cassano E. Evaluating cognitive biases in AI-assisted mammography interpretation: a simulation reader study of explainable AI across radiologist experience levels. European Radiology 2026 View