Medical data checker based on machine learning

A method of validating multi-modal medical data is presented herein. The method comprises: accessing multi-modal medical data of a subject, the multi-modal medical data comprising a medical image of a sample slide wherein a sample in the sample slide is collected from the subject; generating a prediction related to a biological property of the medical image based on the medical image; determining a degree of consistency between the biological attribute of the medical image and other modalities of the multi-modal medical data; and outputting an indication of whether the multi-modal medical data contains an inconsistency based on the degree of consistency. 本文提出了一种验证多模态医学数据的方法。所述方法包括：访问受试者的多模态医学数据，所述多模态医学数据包括样本载玻片的医学图像，其中所述样本载玻片中的样本是从所述受试者收集的；基于所述医学图像生成与所述医学图像的生物学属性有关的预测；确定所述医学图像的所述生物学属性与所述多模态医学数据的其他模态之间的一致性程度；以及基于所述一致性程度输出对所述多模态医学数据是否包含不一致性的指示。