Timeline of core technological breakthroughs in AI-assisted breast cancer management from 2010 to 2025. (IMAGE)
Caption
Timeline of core technological breakthroughs in AI-assisted breast cancer management from 2010 to 2025. Traditional ML (2010–2015): RCT-based guidelines; manual data processing; basic probability modeling; and limited by small samples/narrow features, modest accuracy. Deep learning (2016–2020): CNN for mammogram detection; WSI for pathology segmentation; and constrained by uneven data and algorithmic bias. Large model and generalization (2020s–present): multi-omics integration; transformers/LLMs/federated learning; and privacy-preserving, diverse population-adaptable, WSI, whole-slide imaging; CNN, convolutional neural network.
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Cancer Biology & Medicine
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