Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review

Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review

BackgroundArtificial intelligence (AI) models, clinical models (CM), and the integrated model (IM) are utilized to evaluate the response to neoadjuvant chemotherapy (NACT) in patients diagnosed with gastric cancer.ObjectiveThe objective is to identify the diagnostic test of the AI model and to compa...

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Bibliographic Details
Main Authors: Zhixian Bao, Jie Du, Ya Zheng, Qinghong Guo, Rui Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Oncology
Subjects:
gastric cancer
neoadjuvant chemotherapy
deep learning
radiomics
artificial intelligence
meta-analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1363812/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1363812/full

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