Artificial intelligence in neuro-oncology.
Artificial intelligence
IDH gliomas mut
brain tumor
glioblastoma
glioma
neuro-oncology
Journal
Frontiers in neuroscience
ISSN: 1662-4548
Titre abrégé: Front Neurosci
Pays: Switzerland
ID NLM: 101478481
Informations de publication
Date de publication:
2023
2023
Historique:
received:
05
05
2023
accepted:
14
11
2023
medline:
2
1
2024
pubmed:
2
1
2024
entrez:
1
1
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38161802
doi: 10.3389/fnins.2023.1217629
pmc: PMC10755952
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
1217629Informations de copyright
Copyright © 2023 Nakhate and Gonzalez Castro.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.