Аrtificial intelligence technologies in the personalized treatment of patients with recurrent intracranial meningiomas

The most common primary tumors of the central nervous system in the adult population are meningiomas. There is a group of patients with aggressive meningiomas with a recurrent type of disease, even after radical removal of the tumor and radiotherapy. Recurrence of meningiomas occur in every 4th patient. Repeated neurosurgical treatment of these patients is associated with a high risk of developing or exacerbating neurological deficits, and radical removal is not always possible. Currently, there are no generally accepted standards for the treatment of patients with recurrent meningiomas. The decision to choose the right treatment strategy is made in about half of patients with recurrent meningiomas, the process leading to such a decision remains complex and often relies on simple logical and empirical approaches of specialist doctors based on available data, which, as a rule, have a large volume. The constant growth of the volume of multimodal data in neuro-oncology outstrips the possibilities of their analysis by experts using traditional approaches. It is quite difficult for a neurosurgeon to predict how the neoplastic process in the central nervous system will behave. Thus, neurosurgeons need to seek help from modern artificial intelligence (AI) technologies.

artificial intelligence, biomedical informatics, continued growth, deep learning, machine learning, meningioma, relapse