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Hybrid deep learning ensemble model for detecting small to medium rotator cuff tears from shoulder radiographs.

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Title: Hybrid deep learning ensemble model for detecting small to medium rotator cuff tears from shoulder radiographs.
Authors: Jhan SW; Doctoral Degree Program in Biomedical Engineering, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. abc770723@gmail.com0.; Department of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan. abc770723@gmail.com0.; Chang Gung University College of Medicine, Kaohsiung, Taiwan. abc770723@gmail.com0., Huang TH; Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan., Cheng JH; Chang Gung University College of Medicine, Kaohsiung, Taiwan.; Center for Shockwave Medicine and Tissue Engineering, Medical Research, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan., Wu KT; Department of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.; Chang Gung University College of Medicine, Kaohsiung, Taiwan., Chou WY; Department of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.; Chang Gung University College of Medicine, Kaohsiung, Taiwan., Tsai JT; Department of Computer Science and Artificial Intelligence, National Pingtung University, No. 4-18, Minsheng Rd., Pingtung, 900391, Taiwan.; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan., Ho WH; Department of Fragrance and Cosmetic Science, Kaohsiung Medical University, No. 100, Shiquan 1st Rd., Kaohsiung, 807378, Taiwan.; Precision Sports Medicine and Health Promotion Center, Kaohsiung Medical University, Kaohsiung, Taiwan.; College of Professional Studies, National Pingtung University of Science and Technology, Pingtung, Taiwan.; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Source: Journal of orthopaedic surgery and research [J Orthop Surg Res] 2026 Jun 16. Date of Electronic Publication: 2026 Jun 16.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101265112 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1749-799X (Electronic) Linking ISSN: 1749799X NLM ISO Abbreviation: J Orthop Surg Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Hybrid deep learning ensemble model for detecting small to medium rotator cuff tears from shoulder radiographs.
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  Data: <searchLink fieldCode="AU" term="%22Jhan+SW%22">Jhan SW</searchLink>; Doctoral Degree Program in Biomedical Engineering, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan. abc770723@gmail.com0.; Department of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan. abc770723@gmail.com0.; Chang Gung University College of Medicine, Kaohsiung, Taiwan. abc770723@gmail.com0.<br /><searchLink fieldCode="AU" term="%22Huang+TH%22">Huang TH</searchLink>; Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan.<br /><searchLink fieldCode="AU" term="%22Cheng+JH%22">Cheng JH</searchLink>; Chang Gung University College of Medicine, Kaohsiung, Taiwan.; Center for Shockwave Medicine and Tissue Engineering, Medical Research, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Wu+KT%22">Wu KT</searchLink>; Department of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.; Chang Gung University College of Medicine, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Chou+WY%22">Chou WY</searchLink>; Department of Orthopedic Surgery, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.; Chang Gung University College of Medicine, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Tsai+JT%22">Tsai JT</searchLink>; Department of Computer Science and Artificial Intelligence, National Pingtung University, No. 4-18, Minsheng Rd., Pingtung, 900391, Taiwan.; Department of Healthcare Administration and Medical Informatics, Kaohsiung Medical University, Kaohsiung, Taiwan.<br /><searchLink fieldCode="AU" term="%22Ho+WH%22">Ho WH</searchLink>; Department of Fragrance and Cosmetic Science, Kaohsiung Medical University, No. 100, Shiquan 1st Rd., Kaohsiung, 807378, Taiwan.; Precision Sports Medicine and Health Promotion Center, Kaohsiung Medical University, Kaohsiung, Taiwan.; College of Professional Studies, National Pingtung University of Science and Technology, Pingtung, Taiwan.; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
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  Data: <searchLink fieldCode="JN" term="%22101265112%22">Journal of orthopaedic surgery and research</searchLink> [J Orthop Surg Res] 2026 Jun 16. <i>Date of Electronic Publication: </i>2026 Jun 16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101265112 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1749-799X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221749799X%22">1749799X </searchLink><i>NLM ISO Abbreviation: </i>J Orthop Surg Res <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1186/s13018-026-06890-5
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      – Code: eng
        Text: English
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      – TitleFull: Hybrid deep learning ensemble model for detecting small to medium rotator cuff tears from shoulder radiographs.
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            – D: 16
              M: 06
              Text: 2026 Jun 16
              Type: published
              Y: 2026
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