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03/30/26

Viewpoint on the consequences and mitigation of cognitive bias in the radiological interpretation of breast cancer imaging using artificial intelligence.

Conti, Lorenzo; Capetti, Benedetta; Battaglia, Ottavia; Grasso, Roberto; Pesapane, Filippo; Monzani, Dario; Pravettoni, Gabriella. JMIR Med Inform.

Collection Topics
AI and Diagnosis Big Three Conditions Cognition and Decision Making Tests, Screening, and Laboratory Processes
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Summary

AI is increasingly used in breast imaging, but successful adoption depends on radiologists’ trust and willingness to integrate it into practice. This commentary examines cognitive and system sources of diagnostic error and AI’s potential to support—and sometimes reshape—interpretation. The authors argue for context-sensitive implementation paired with ongoing education and bias awareness to improve accuracy while preserving radiologists’ critical judgment.
Read the paper
Conti L, Capetti B, Battaglia O, et al. Viewpoint on the consequences and mitigation of cognitive bias in the radiological interpretation of breast cancer imaging using artificial intelligence. JMIR Med Inform. 2026;14:e78955.