In clinical practice, we often see significant delays between MRI scans and
the diagnosis made by radiologists, even for severe cases. In some cases, this
may be caused by the lack of additional information and clues, so even the
severe cases need to wait in the queue for diagnosis. This can be avoided if
there is an automatic software tool, which would supplement additional
information, alerting radiologists that the particular patient may be a severe
case.
We are presenting an automatic brain MRI Screening Tool and we are
demonstrating its capabilities for detecting tumor-like pathologies. It is the
first version on the path toward a robust multi-pathology screening solution.
The tool supports Federated Learning, so multiple institutions may contribute
to the model without disclosing their private data.

临床实践中，MRI 扫描与放射科医师的诊断往往存在显著的延迟，甚至对于严重病例也是如此。我们提出了一种自动脑部 MRI 筛查工具，演示了它在检测类肿瘤病理方面的能力。这是通向强大的多病理筛查解决方案的第一个版本。该工具支持联邦学习，使多个机构能够在不公开其私人数据的情况下贡献模型。