Erschienen in:
01.12.2024 | Correspondence
Harnessing generative artificial intelligence for meningioma prediction: a correspondence
verfasst von:
Mohamed Jalloh, Samuel Berchi Kankam
Erschienen in:
Neurosurgical Review
|
Ausgabe 1/2024
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Excerpt
Meningioma, the most common primary brain tumor, can lead to significant neurological impairments and life-threatening complications due to its location and growth pattern. The current diagnostic pathway relies heavily on imaging techniques like magnetic resonance imaging (MRI), followed by histopathological examination post-surgery [
1]. However, early and accurate prediction of meningioma characteristics, such as tumor grade, size, location, and potential growth pattern, remains challenging. …