Systematic review and epistemic meta-analysis to advance binomial AI-radiomics integration for predicting high-grade glioma progression and enhancing patient management
OncologiaSobre o estudo
- Desenho
- Metanálise
- Nível de evidência
- 1 · Evidência consolidada
- Revista
- Scientific reports
- Publicado em
- 8 mai 2025
- Citações
- 11
O resumo deste estudo é do publisher e não tem licença aberta: por isso mostramos aqui só os dados do estudo, e o texto fica na fonte original, nos links abaixo.
O estudo original
Systematic review and epistemic meta-analysis to advance binomial AI-radiomics integration for predicting high-grade glioma progression and enhancing patient management
María Fátima Chilaca-Rosas, Manuel Tadeo Contreras-Aguilar, Federico Pallach-Loose, Nelly F Altamirano-Bustamante, David Rafael Salazar-Calderon, Cristina Revilla-Monsalve, Juan Carlos Heredia-Gutiérrez, Benjamin Conde-Castro, Rafael Medrano-Guzmán, Myriam M Altamirano-Bustamante
Descritores MeSH
- Glioma
- Artificial Intelligence
- Brain Neoplasms
- Magnetic Resonance Imaging
- Prognosis
- Disease Progression
- Machine Learning
- Support Vector Machine
- Radiomics
- Humans
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