We present a survey of the current state-of-the-art in breast cancer detection and prognosis. We analyze the evolution of Artificial Intelligence-based approaches from using just uni-modal information to multi-modality for detection and how such paradigm shift facilitates the efficacy of detection, consistent with clinical observations. We conclude that interpretable AI-based predictions and ability to handle class imbalance should be considered priority.

中文翻译：

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通过使用多模态分类器进行乳腺癌预后：当前技术水平和前进方向

我们对当前乳腺癌检测和预后的最新技术进行了调查。我们分析了基于人工智能的方法从仅使用单模态信息到多模态检测的演变，以及这种范式转变如何促进检测的功效，与临床观察一致。我们的结论是，应优先考虑可解释的基于人工智能的预测和处理类别不平衡的能力。