Artificial intelligence in neuro-oncology

Vihang Nakhate; L Nicolas Gonzalez Castro

doi:10.3389/fnins.2023.1217629

Artificial intelligence in neuro-oncology

Front Neurosci. 2023 Dec 14:17:1217629. doi: 10.3389/fnins.2023.1217629. eCollection 2023.

Authors

Vihang Nakhate^{1

2}, L Nicolas Gonzalez Castro^{1

3

4}

Affiliations

¹ Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
² Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
³ Harvard Medical School, Boston, MA, United States.
⁴ The Center for Neuro-Oncology, Dana-Farber Cancer Institute, Boston, MA, United States.

Abstract

Artificial intelligence (AI) describes the application of computer algorithms to the solution of problems that have traditionally required human intelligence. Although formal work in AI has been slowly advancing for almost 70 years, developments in the last decade, and particularly in the last year, have led to an explosion of AI applications in multiple fields. Neuro-oncology has not escaped this trend. Given the expected integration of AI-based methods to neuro-oncology practice over the coming years, we set to provide an overview of existing technologies as they are applied to the neuropathology and neuroradiology of brain tumors. We highlight current benefits and limitations of these technologies and offer recommendations on how to appraise novel AI-tools as they undergo consideration for integration into clinical workflows.

Keywords: Artificial intelligence; IDH gliomas mut; brain tumor; glioblastoma; glioma; neuro-oncology.

Publication types

Review