Abstract
Artificial intelligence (AI) has significantly impacted the field of medical imaging,
particularly in diagnosing and managing metabolic bone diseases (MBDs) such as osteoporosis
and osteopenia, Paget's disease, osteomalacia, and rickets, as well as rare conditions
such as osteitis fibrosa cystica and osteogenesis imperfecta. This article provides
an in-depth analysis of AI techniques used in imaging these conditions, recent advancements,
and their clinical applications. It also explores ethical considerations and future
perspectives. Through comprehensive examination and case studies, we highlight the
transformative potential of AI in enhancing diagnostic accuracy, improving patient
outcomes, and contributing to personalized medicine. By integrating AI with existing
imaging techniques, we can significantly enhance the capabilities of medical imaging
in diagnosing, monitoring, and treating MBDs. We also provide a comprehensive overview
of the current state, challenges, and future prospects of AI applications in this
crucial area of health care.
Keywords
artificial intelligence - deep learning - machine learning - natural language processing
- computer vision
