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Editorial | Open Access

Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis

Sunyi Zheng*, Xiaonan Cui*, Zhaoxiang Ye ( )
Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin’s Clinical Research Center for Cancer, State Key Laboratory of Druggability Evaluation and Systematic Translational Medicine, Tianjin Key Laboratory of Digestive Cancer, Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin 300060, China

*These authors contributed equally to this work.

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Cancer Biology & Medicine
Volume 22 Issue 1,
January 2025
Pages 6-13
DOI: 10.20892/j.issn.2095-3941.2024.0422

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Cite this article:
Zheng S, Cui X, Ye Z. Integrating artificial intelligence into radiological cancer imaging: from diagnosis and treatment response to prognosis. Cancer Biology & Medicine, 2025, 22(1): 6-13. https://doi.org/10.20892/j.issn.2095-3941.2024.0422

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Received: 26 September 2024
Accepted: 03 January 2025
Published: 01 January 2025
©2025 The Authors.

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