Published on in Vol 26 (2024)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/48535, first published
.

Journals
- Lin X, Zhang Z, Zhou T, Li J, Jin Q, Li Y, Guan Y, Xia Y, Zhou X, Fan L. The Role of Computed Tomography and Artificial Intelligence in Evaluating the Comorbidities of Chronic Obstructive Pulmonary Disease: A One-Stop CT Scanning for Lung Cancer Screening. International Journal of Chronic Obstructive Pulmonary Disease 2025;Volume 20:1395 View
- Misir A. Artificial intelligence in orthopedic trauma: a comprehensive review. Injury 2025;56(8):112570 View
- Palm V, Thangamani S, Budai B, Skornitzke S, Eckl K, Tong E, Sedaghat S, Heußel C, von Stackelberg O, Engelhardt S, Kopytova T, Norajitra T, Maier-Hein K, Kauczor H, Wielpütz M. AI-based CT assessment of 3117 vertebrae reveals significant sex-specific vertebral height differences. Scientific Reports 2025;15(1) View
- Tang Y, Wang X, Li M, Jin L. Bone Mineral Density and Intermuscular Fat Derived from Computed Tomography Images Using Artificial Intelligence Are Associated with Fracture Healing. Bioengineering 2025;12(7):785 View
- Kong S. Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable. Endocrinology and Metabolism 2025;40(4):499 View
- Kong S, Choi S, Cho W, Park S, Park S, Choo J, Kim J, Kim S, Shin C. Enhancing vertebral fracture prediction using multitask deep learning computed tomography imaging of bone and muscle. European Radiology 2025 View
Books/Policy Documents
- Wåhlstrand V, Alvén J, Johansson L, Axelsson K, Lorentzon M, Häggström I. Medical Image Computing and Computer Assisted Intervention – MICCAI 2025. View
