AI for Opportunistic Identification of BMD and Bone Microarchitecture: A Narrative Review

YOLOv10-PDTFN: An integrated ROI segmentation and transformer fusion framework for osteoporosis classification in knee radiographs.

INTRODUCTION Reduced bone mineral density and degeneration of bone microarchitecture are hallmarks of Osteoporosis, a degenerative skeletal condition that raises the risk of fractures. Due to the subjective nature of conventional radiography assessment and the potential for inter-observer variability, early diagnosis a...

Preventing fragility fractures: AI-based opportunistic osteoporosis detection in routine CT ​.

Estimating Bone Mineral Density from Hip Radiographs Using Deep Learning for Osteoporosis Categorization

It is demonstrated that opportunistic osteoporosis screening from routine hip radiographs, combined with domain-aware preprocessing and transfer learning, can potentially provide a scalable and cost-effective alternative for wider osteoporosis risk stratification in resource-limited settings.

Artificial Intelligence‐Driven Precision Bisphosphonate Therapy in Osteoporosis: Mechanisms, Clinical Applications, Risks, and Future Directions

ABSTRACT Bisphosphonates remain the pharmacological standard of care for osteoporosis; however, their clinical efficacy is limited by significant diagnostic gaps, heterogeneous therapeutic responses, and persistent concerns regarding long‐term safety, including medication‐related osteonecrosis of the jaw (MRONJ) and at...

Single-component imaging and ultrasound-based tools for the assessment of fracture risk.

Artificial intelligence in spinal fracture imaging: from clinical application to translational promise

It is indicated that AI can achieve high diagnostic accuracy in controlled, often single-centre retrospective settings, but its performance consistently declines for mild fractures, degenerated spines, and postoperative anatomy.