Practical Applications of Artificial Intelligence in Spine Imaging : A Review - 23/01/24
Doi : 10.1016/j.rcl.2023.10.005
Upasana Upadhyay Bharadwaj, MD a, 1, Cynthia T. Chin, MD b, 1, ⁎ 
, Sharmila Majumdar, PhD a
, Sharmila Majumdar, PhD a a Department of Radiology and Biomedical Imaging, University of California San Francisco, 1700 4th Street, Byers Hall, Suite 203, Room 203D, San Francisco, CA 94158, USA
b Department of Radiology and Biomedical Imaging, University of California San Francisco, 505 Parnassus Avenue, Box 0628, San Francisco, CA 94143, USA
∗Corresponding author.
Résumé |
Artificial intelligence (AI), a transformative technology with unprecedented potential in medical imaging, can be applied to various spinal pathologies. AI-based approaches may improve imaging efficiency, diagnostic accuracy, and interpretation, which is essential for positive patient outcomes. This review explores AI algorithms, techniques, and applications in spine imaging, highlighting diagnostic impact and challenges with future directions for integrating AI into spine imaging workflow.
Le texte complet de cet article est disponible en PDF.Keywords : Artificial intelligence, Machine learning, Deep learning, Spine
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© 2023
Elsevier Inc. Tous droits réservés.
Vol 62 - N° 2
P. 355-370 - mars 2024 Retour au numéro
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