Brain MRI Screening Tool with Federated Learning
This addresses a critical issue for radiologists and patients by potentially reducing diagnosis wait times, though it is incremental as it focuses on a specific pathology and is an initial version.
The paper tackles the problem of delays in diagnosing severe brain MRI cases by developing an automatic screening tool that detects tumor-like pathologies, demonstrating its capabilities as a first step toward a multi-pathology solution.
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.