[Artificial intelligence, radiomics and pathomics to predict response and survival of patients treated with radiations]. / Intelligence artificielle en radiothérapie : radiomique, pathomique, et prédiction de la survie et de la réponse aux traitements.
Cancer Radiother
; 25(6-7): 630-637, 2021 Oct.
Article
em Fr
| MEDLINE
| ID: mdl-34284970
ABSTRACT
Artificial intelligence approaches in medicine are more and more used and are extremely promising due to the growing number of data produced and the variety of data they allow to exploit. Thus, the computational analysis of medical images in particular, radiological (radiomics), or anatomopathological (pathomics), has shown many very interesting results for the prediction of the prognosis and the response of cancer patients. Radiotherapy is a discipline that particularly benefits from these new approaches based on computer science and imaging. This review will present the main principles of an artificial intelligence approach and in particular machine learning, the principles of a radiomic and pathomic approach and the potential of their use for the prediction of the prognosis of patients treated with radiotherapy.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Aprendizado de Máquina
/
Neoplasias
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
/
Risk_factors_studies
Limite:
Humans
Idioma:
Fr
Revista:
Cancer Radiother
Assunto da revista:
NEOPLASIAS
/
RADIOTERAPIA
Ano de publicação:
2021
Tipo de documento:
Article