Artificial Intelligence Applications for Imaging Metabolic Bone Diseases.
Journal
Seminars in musculoskeletal radiology
ISSN: 1098-898X
Titre abrégé: Semin Musculoskelet Radiol
Pays: United States
ID NLM: 9717520
Informations de publication
Date de publication:
Oct 2024
Oct 2024
Historique:
medline:
16
10
2024
pubmed:
16
10
2024
entrez:
15
10
2024
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 39406223
doi: 10.1055/s-0044-1789218
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
610-619Informations de copyright
Thieme. All rights reserved.
Déclaration de conflit d'intérêts
None declared.