Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review

Radiology-based AI offers a non-invasive approach to guide treatment selection and monitoring in targeted therapy. This review summarizes current progress, highlights strengths and limitations of direct and indirect prediction strategies, and discusses future directions. To support accessibility, we also provide a continuously updated interactive website of included resources.

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Publication Details

Journal
Journal of Translational Medicine
Published
2025-11-24
DOI
https://doi.org/10.1186/s12967-025-07409-y
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review

Syed Ahmar Shah, David C. Hay, Huaqiong Huang, Hao‐Chien Wang et al.
Journal of Translational Medicine
Radiomics and Machine Learning in Medical Imaging
article

Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review

Syed Ahmar Shah, David C. Hay, Huaqiong Huang, Hao‐Chien Wang, Shuifang Chen, Ava Khamseh, Yanshu Wang, Shaoxia Chen, Chengnian Long, Jiaqi Deng, Ran Jing, Yishu Deng, Yue Wang, Yufei Liu, Jian Liu, Xiaohan Zhang, Xiaochen Zhang, Bing Xia, Lian Wang, Bo Yang, Tailin Li
article en

Abstract

Radiology-based AI offers a non-invasive approach to guide treatment selection and monitoring in targeted therapy. This review summarizes current progress, highlights strengths and limitations of direct and indirect prediction strategies, and discusses future directions. To support accessibility, we also provide a continuously updated interactive website of included resources.

Journal of Translational MedicineVol. 23(1)
Zhejiang International Studies University (CN), Edinburgh Cancer Research (GB), Edinburgh College (GB), Westlake University (CN), Institute for Stem Cell Biology and Regenerative Medicine (IN), MRC Centre for Regenerative Medicine (GB), First People's Hospital of Nanning (CN), Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang University-University of Edinburgh Institute (CN), Artificial Intelligence in Medicine (Canada) (CA), First Affiliated Hospital Zhejiang University (CN), Zhejiang University (CN), University of Edinburgh (GB)
National Natural Science Foundation of China, Zhejiang University, National Science and Technology Major Project
Openalex Percentile: Top 49%
Radiomics and Machine Learning in Medical Imaging
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