Artificial intelligence in the diagnosis of breast pathologies: A literature review

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Literature review finds AI improves diagnostic accuracy for breast cancer in imaging techniques, highlighting future potential.

AI enhances diagnostic accuracy for detecting breast cancer, significantly impacting early detection efforts.
Convolutional neural networks achieve high accuracy rates of 94.5% in identifying microcalcifications on mammograms.
Comprehensive analysis included various studies from multiple databases, focusing on AI applications in breast pathology diagnosis.
While AI improves accuracy, challenges such as data quality and ethical concerns in decision-making remain.

Panina et al. (2025) studied this question.

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