University of Warwick research warns that popular deep learning systems trained for cancer pathology may be relying on hidden ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or only MSI-positive tumors, accuracy fell substantially, revealing that the ...

Artificial intelligence deployed in clinical settings to assist with disease detection could lead to diagnostic errors, as the technologies may tend to look for shortcuts, according to University of ...

The remarkable success in graph neural networks (GNNs) promotes the eXplainable Graph Learning (XGL) methods. However, existing XGL approaches are susceptible to exploiting shortcuts (aka, spurious ...