Medical image foundation models in assisting diagnosis of brain tumors: a pilot study

ConclusionsFoundation models obtained from self-supervised learning have demonstrated encouraging potential for scalability and interpretability in downstream brain tumor-related tasks and hold promise for extension to neurological diseases with diffusely distributed lesions.Clinical relevance statementThe application of our proposed method to the prediction of key molecular status in gliomas is expected to improve treatment planning and patient outcomes. Additionally, the foundation model we developed could serve as a cornerstone for advancing AI applications in the diagnosis of brain-related diseases.
Source: European Radiology - Category: Radiology Source Type: research