Machine learning approach to estimation of in vivo measured dose and treatment planning for total body irradiation.

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Title: Machine learning approach to estimation of in vivo measured dose and treatment planning for total body irradiation.
Authors: Lee S; Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Republic of Korea., Kim JI; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiation Oncology, Seoul National University, Seoul, Republic of Korea., Kang S; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea., Son J; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea., Jin H; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea., Choi CH; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiation Oncology, Seoul National University, Seoul, Republic of Korea., Park JM; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiation Oncology, Seoul National University, Seoul, Republic of Korea., Lee JH; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiation Oncology, Seoul National University, Seoul, Republic of Korea., Chang JH; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiation Oncology, Seoul National University, Seoul, Republic of Korea., Kang HC; Department of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea.; Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.; Department of Radiation Oncology, Seoul National University, Seoul, Republic of Korea., Jung S; Ionizing Radiation Group, Division of Biomedical Metrology, Korea Research Institute of Standards and Science, Daejeon, 34113, Republic of Korea. smjung@kriss.re.kr.
Source: Radiation oncology (London, England) [Radiat Oncol] 2026 Apr 11; Vol. 21 (1). Date of Electronic Publication: 2026 Apr 11.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101265111 Publication Model: Electronic Cited Medium: Internet ISSN: 1748-717X (Electronic) Linking ISSN: 1748717X NLM ISO Abbreviation: Radiat Oncol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1748-717X
DOI:10.1186/s13014-026-02829-6