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Radiology-based artificial intelligence for predicting targeted therapy response in pan-cancer: a comprehensive review
0
Zitationen
21
Autoren
2025
Jahr
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.
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Autoren
Institutionen
- Zhejiang University-University of Edinburgh Institute(CN)
- University of Edinburgh(GB)
- First People's Hospital of Nanning(CN)
- First Affiliated Hospital Zhejiang University(CN)
- Zhejiang International Studies University(CN)
- Second Affiliated Hospital of Zhejiang University(CN)
- MRC Centre for Regenerative Medicine(GB)
- Edinburgh Cancer Research(GB)
- Westlake University(CN)
- Hangzhou First People's Hospital(CN)
- Edinburgh College(GB)
- Institute for Stem Cell Biology and Regenerative Medicine(IN)
- Artificial Intelligence in Medicine (Canada)(CA)
- Zhejiang University(CN)