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Individualized Prediction of Radiation Pneumonitis Using RP-GAN: Leveraging Global Lung Features and Explainable Artificial Intelligence.

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Title: Individualized Prediction of Radiation Pneumonitis Using RP-GAN: Leveraging Global Lung Features and Explainable Artificial Intelligence.
Authors: Hsieh YW; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan., Chao PJ; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan., Liao YL; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Yun WP; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Chang-Chien LC; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan., Wuu CS; Department of Radiation Oncology, Columbia University, New York, NY, USA., Lin YW; Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan., Lee TF; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.; Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
Source: Technology in cancer research & treatment [Technol Cancer Res Treat] 2026 Jan-Dec; Vol. 25, pp. 15330338261450065. Date of Electronic Publication: 2026 May 08.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Country of Publication: United States NLM ID: 101140941 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1533-0338 (Electronic) Linking ISSN: 15330338 NLM ISO Abbreviation: Technol Cancer Res Treat Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Individualized Prediction of Radiation Pneumonitis Using RP-GAN: Leveraging Global Lung Features and Explainable Artificial Intelligence.
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  Data: <searchLink fieldCode="AU" term="%22Hsieh+YW%22">Hsieh YW</searchLink>; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chao+PJ%22">Chao PJ</searchLink>; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Liao+YL%22">Liao YL</searchLink>; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Yun+WP%22">Yun WP</searchLink>; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chang-Chien+LC%22">Chang-Chien LC</searchLink>; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wuu+CS%22">Wuu CS</searchLink>; Department of Radiation Oncology, Columbia University, New York, NY, USA.<br /><searchLink fieldCode="AU" term="%22Lin+YW%22">Lin YW</searchLink>; Department of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Lee+TF%22">Lee TF</searchLink>; Medical Physics and Informatics Laboratory of Electronics Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.; Graduate Institute of Clinical Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.; Department of Medical Imaging and Radiological Sciences, Kaohsiung Medical University, Kaohsiung, Taiwan.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE%22">SAGE </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101140941 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1533-0338 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215330338%22">15330338 </searchLink><i>NLM ISO Abbreviation: </i>Technol Cancer Res Treat <i>Subsets: </i>MEDLINE
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