This paper is in the following e-collection/theme issue:

Imaging Informatics (297) Artificial Intelligence (2094) New Methods (1128) Machine Learning (2054) Tools, Programs and Algorithms (374) Decision Support for Health Professionals (1524) Computer-Aided Diagnosis (244) Advanced Data Analytics in eHealth (207) mHealth for Screening (294)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70738, first published .
Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study

Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study

Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study

Authors of this article:

Jun Tang1 Author Orcid Image ;   Xiang Yin2 Author Orcid Image ;   Jiangyuan Lai3 Author Orcid Image ;   Keyu Luo2 Author Orcid Image ;   Dongdong Wu1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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  1. Su P, Shih H, Xu J. Rapid Liver Fibrosis Evaluation Using the UNet-ResNet50-32 × 4d Model in Magnetic Resonance Elastography: Retrospective Study. JMIR Medical Informatics 2025;13:e80351 View
  2. Gehrke S, Júnior J, Eilers Treichel T, Colla G, Coura G, Mello B, de Carvalho Formiga M, de Campos Buzzi F, Tari S, Scarano A. Early Osseointegration in a Sheep Tibia Model: Correlating Digital Periapical Radiograph Gray-Level and RGB-Derived Metrics with Histologic Tissue Composition. Journal of Functional Biomaterials 2025;16(11):415 View