Purpose of review
To discuss recent applications of artificial intelligence
within the field of neuro-oncology
and highlight emerging challenges in integrating artificial intelligence
within clinical practice.
In the field of image analysis, artificial intelligence
has shown promise in aiding clinicians with incorporating an increasing amount of data in genomics, detection, diagnosis, classification, risk stratification, prognosis, and treatment response. Artificial intelligence
has also been applied in epigenetics, pathology, and natural language processing.
Although nascent, applications of artificial intelligence
show significant promise. Artificial intelligence
algorithms will likely improve our understanding of brain tumors and help drive future innovations in neuro-oncology