Artificial Intelligence in Brain Cancer
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 197
Special Issue Editor
Special Issue Information
Dear Colleagues,
Brain malignancies are comprised of primary brain tumors that arise in the brain and secondary tumors that arise elsewhere in the body and metastasize to the brain. Both types of lesions are associated with devastating neurological symptoms and often poor prognosis. While not all brain malignancies are associated with poor survival, they are all often associated with significant life-altering neurological symptoms and sequelae that are the result of alterations in the functionality of normal tissues either due to tumor presence or the side effects of disease management, be it surgical intervention, systemic management or radiation therapy. Artificial intelligence methods have been applied to malignancies of the brain with respect to diagnosis, management and prognosis and have aimed to leverage imaging and pathology features as the most common sources of data available. The progress in large-scale sophisticated omic data and the rise of real-world clinical data have added a new dimension of data depth and the integration and interpretable application of artificial intelligence to these domains. In-parallel novel imaging and pathology techniques have revolutionized the diagnosis of brain malignancy in terms of molecular classification. Nonetheless, very few patients benefit from personalized treatment as a result of these advances, with management in clinics largely unchanged. The integration of data types that address imaging, pathology, molecular and clinical data is now the new frontier, with the aim being to improve, validate and advance diagnosis, management and outcomes in brain malignancies.
Dr. Andra Valentina Krauze
Guest Editor
Manuscript Submission Information
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