Machine intelligence for radiation science: summary of the Radiation Research Society 67th annual meeting symposium.
Int J Radiat Biol
; 99(8): 1291-1300, 2023.
Article
em En
| MEDLINE
| ID: mdl-36735963
ABSTRACT
The era of high-throughput techniques created big data in the medical field and research disciplines. Machine intelligence (MI) approaches can overcome critical limitations on how those large-scale data sets are processed, analyzed, and interpreted. The 67th Annual Meeting of the Radiation Research Society featured a symposium on MI approaches to highlight recent advancements in the radiation sciences and their clinical applications. This article summarizes three of those presentations regarding recent developments for metadata processing and ontological formalization, data mining for radiation outcomes in pediatric oncology, and imaging in lung cancer.
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Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Neoplasias Pulmonares
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article