In this paper, we introduce a new concept called Artificial Special Intelligence by which Machine Learning models for the classification problem can be trained error-free, thus acquiring the capability of not making repeated mistakes. The method is applied to 18 MedMNIST biomedical datasets. Except for three datasets, which suffer from the double-labeling problem, all are trained to perfection.

翻译：本文提出一种名为“人工专精智能”的新概念，通过该方法训练的机器学习分类模型能够实现零误差，从而具备避免重复犯错的能力。将该方法应用于18个MedMNIST生物医学数据集，除三个存在双重标注问题的数据集外，其余数据集均达到完美训练效果。