Role of artificial intelligence in brain tumour imaging.
Eur J Radiol
; 176: 111509, 2024 Jul.
Article
de En
| MEDLINE
| ID: mdl-38788610
ABSTRACT
Artificial intelligence (AI) is a rapidly evolving field with many neuro-oncology applications. In this review, we discuss how AI can assist in brain tumour imaging, focusing on machine learning (ML) and deep learning (DL) techniques. We describe how AI can help in lesion detection, differential diagnosis, anatomic segmentation, molecular marker identification, prognostication, and pseudo-progression evaluation. We also cover AI applications in non-glioma brain tumours, such as brain metastasis, posterior fossa, and pituitary tumours. We highlight the challenges and limitations of AI implementation in radiology, such as data quality, standardization, and integration. Based on the findings in the aforementioned areas, we conclude that AI can potentially improve the diagnosis and treatment of brain tumours and provide a path towards personalized medicine and better patient outcomes.
Mots clés
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Tumeurs du cerveau
/
Intelligence artificielle
Limites:
Humans
Langue:
En
Journal:
Eur J Radiol
Année:
2024
Type de document:
Article
Pays de publication:
Irlande