School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.
Ataturk Training and Research Hospital, Izmir Katip Çelebi University, Izmir, Turkey.
Semin Musculoskelet Radiol. 2024 Oct;28(5):610-619. doi: 10.1055/s-0044-1789218. Epub 2024 Oct 15.
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.
人工智能(AI)在医学影像学领域产生了重大影响,特别是在诊断和管理代谢性骨疾病(MBDs)方面,如骨质疏松症和低骨量症、佩吉特病、佝偻病、骨软化症等,以及罕见疾病,如纤维囊性骨炎和成骨不全症。本文深入分析了用于诊断这些疾病的 AI 技术、最新进展及其临床应用。还探讨了伦理考虑因素和未来展望。通过全面的检查和案例研究,我们强调了 AI 在提高诊断准确性、改善患者预后以及促进个性化医疗方面的变革潜力。通过将 AI 与现有的成像技术相结合,我们可以显著增强医学成像在诊断、监测和治疗 MBD 方面的能力。我们还全面概述了 AI 在医疗保健这一关键领域的应用的现状、挑战和未来前景。