Published on in Vol 13 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/70738, first published
.

Journals
- 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
- 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
- Huang W, Pan P, Liu K, Xu Y, Cheng S, Wang H, Han L, Qi Y, Ren L, Chu J. Intelligent identification of osteoporosis on hip X-rays using vision transformer. Bone Reports 2026;28:101898 View
- Xu X, Huang J, Chen Q, Lu W, Chen W, Zhou X. miR-1290 serves as a potential biomarker for osteoporotic fracture and regulates osteoblast function by targeting KDM5A. Journal of Orthopaedic Surgery and Research 2026;21(1) View
- Sivalingam A. Advances in circulating biomarkers using liquid biopsy and multi-omic integration in minimal residual disease. Microchemical Journal 2026;227:118527 View
- Zhang Z, He Y, Mo Z, Zhang P, Tian Z, Huang L. Artificial Intelligence for Osteoporosis Diagnosis, Risk Prediction and Therapy: Current Advances, Clinical Challenges, and Future Perspectives. Clinical Interventions in Aging 2026;Volume 21:1 View
- Shaban A, Tawfik M, Fathi I, Myla A. MultiScaleKANNet: a hybrid CNN-KAN-transformer architecture for radiographic bone-loss risk stratification from knee X-rays. Scientific Reports 2026;16(1) View
Conference Proceedings
- NagaLakshmi A, Mohan T, Srinivasulu P, Nethala T. 2026 4th International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). EfficientNet-Driven Multi-Class Spine X-Ray Analysis for Automated Osteoporosis Detection View
- G K N, Supriya M. 2026 Second International Conference on Multi-Agent Systems for Collaborative Intelligence (ICMSCI). Convolutional Radiographic Encoding Combined with Dense Clinical Feature Embedding for Osteoporosis Diagnosis View
