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Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning

Research article (BMC Cancer, 2023) · cited 15× · AI/ML
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Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning

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Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning is a scholarly article[1].

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  • Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/develop-and-validate-a-radiomics-space-time-model-to-predict-the-pathological-complete-response-in-patients-undergoing-n
MLA “Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/develop-and-validate-a-radiomics-space-time-model-to-predict-the-pathological-complete-response-in-patients-undergoing-n.
BibTeX @misc{4ortxyz_develop-and-validate-a-radiomics-space-time-model-to-predict-the-pathological-complete-response-in-patients-undergoing-n_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Develop and validate a radiomics space-time model to predict the pathological complete response in patients undergoing neoadjuvant treatment of rectal cancer: an artificial intelligence model study based on machine learning}}, year = {2026}, url = {https://4ort.xyz/entity/develop-and-validate-a-radiomics-space-time-model-to-predict-the-pathological-complete-response-in-patients-undergoing-n}, note = {Accessed: 2026-05-24}}
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