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Explainable multimodal knee osteoarthritis diagnosis from X-ray images using anomaly detection with clinical and structural biomarkers.

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Bibliographic Details
Title: Explainable multimodal knee osteoarthritis diagnosis from X-ray images using anomaly detection with clinical and structural biomarkers.
Authors: Phan HT; Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh city, Vietnam.; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam., Pham HH; Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh city, Vietnam.; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam., Nguyen DT; Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh city, Vietnam.; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam., Nguyen TT; Global Softwares Corporation (GSOFT CORPORATION), Ho Chi Minh city, Vietnam., Le HN; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam.; Ho Chi Minh City University of Science (HCMUS), Ho Chi Minh city, Vietnam., Thai DQ; Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh city, Vietnam.; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam., Tran TM; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam.; Ho Chi Minh City University of Science (HCMUS), Ho Chi Minh city, Vietnam., Quan TT; Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh city, Vietnam. qttho@hcmut.edu.vn.; Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh city, Vietnam. qttho@hcmut.edu.vn.
Source: Scientific reports [Sci Rep] 2026 May 05; Vol. 16 (1). Date of Electronic Publication: 2026 May 05.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-026-51211-9