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Validation of the postoperative prognostication tool PREDICT version 2.2 and 3.0 using data from the National cancer center hospital in Japan.

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Title: Validation of the postoperative prognostication tool PREDICT version 2.2 and 3.0 using data from the National cancer center hospital in Japan.
Authors: Hashiguchi H; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Kouno N; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. nkouno@ncc.go.jp.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. nkouno@ncc.go.jp.; Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan. nkouno@ncc.go.jp., Komatsu M; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan., Shiino S; Department of Breast Surgery, Shin-Matsudo Central General Hospital, Chiba, Japan., Takehara N; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan., Takeda K; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan., Takahashi S; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan., Hsiao YW; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Murata T; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Obama K; Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan., Takayama S; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan., Pharoah PDP; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Hamamoto R; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. rhamamot@ncc.go.jp.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. rhamamot@ncc.go.jp.
Source: Breast cancer (Tokyo, Japan) [Breast Cancer] 2026 Mar; Vol. 33 (2), pp. 415-425. Date of Electronic Publication: 2026 Jan 19.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Maruzen Co Country of Publication: Japan NLM ID: 100888201 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1880-4233 (Electronic) Linking ISSN: 13406868 NLM ISO Abbreviation: Breast Cancer Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Validation of the postoperative prognostication tool PREDICT version 2.2 and 3.0 using data from the National cancer center hospital in Japan.
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  Data: <searchLink fieldCode="AU" term="%22Hashiguchi+H%22">Hashiguchi H</searchLink>; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Kouno+N%22">Kouno N</searchLink>; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. nkouno@ncc.go.jp.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. nkouno@ncc.go.jp.; Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan. nkouno@ncc.go.jp.<br /><searchLink fieldCode="AU" term="%22Komatsu+M%22">Komatsu M</searchLink>; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Shiino+S%22">Shiino S</searchLink>; Department of Breast Surgery, Shin-Matsudo Central General Hospital, Chiba, Japan.<br /><searchLink fieldCode="AU" term="%22Takehara+N%22">Takehara N</searchLink>; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.<br /><searchLink fieldCode="AU" term="%22Takeda+K%22">Takeda K</searchLink>; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Takahashi+S%22">Takahashi S</searchLink>; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Hsiao+YW%22">Hsiao YW</searchLink>; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Murata+T%22">Murata T</searchLink>; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Obama+K%22">Obama K</searchLink>; Department of Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan.<br /><searchLink fieldCode="AU" term="%22Takayama+S%22">Takayama S</searchLink>; Department of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.<br /><searchLink fieldCode="AU" term="%22Pharoah+PDP%22">Pharoah PDP</searchLink>; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Hamamoto+R%22">Hamamoto R</searchLink>; Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, 104-0045, Japan. rhamamot@ncc.go.jp.; AI Medical Engineering Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. rhamamot@ncc.go.jp.
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  Data: <searchLink fieldCode="JN" term="%22100888201%22">Breast cancer (Tokyo, Japan)</searchLink> [Breast Cancer] 2026 Mar; Vol. 33 (2), pp. 415-425. <i>Date of Electronic Publication: </i>2026 Jan 19.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Maruzen+Co%22">Maruzen Co </searchLink><i>Country of Publication: </i>Japan <i>NLM ID: </i>100888201 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1880-4233 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2213406868%22">13406868 </searchLink><i>NLM ISO Abbreviation: </i>Breast Cancer <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12282-026-01823-w
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              Text: 2026 Mar
              Type: published
              Y: 2026
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