User: Guest  Login
Title:

Artificial intelligence and machine learning in axial spondyloarthritis.

Document type:
Journal Article; Review
Author(s):
Adams, Lisa C; Bressem, Keno K; Poddubnyy, Denis
Abstract:
PURPOSE OF REVIEW: To evaluate the current applications and prospects of artificial intelligence and machine learning in diagnosing and managing axial spondyloarthritis (axSpA), focusing on their role in medical imaging, predictive modelling, and patient monitoring. RECENT FINDINGS: Artificial intelligence, particularly deep learning, is showing promise in diagnosing axSpA assisting with X-ray, computed tomography (CT) and MRI analyses, with some models matching or outperforming radiologists in...     »
Journal title abbreviation:
Curr Opin Rheumatol
Year:
2024
Journal volume:
36
Journal issue:
4
Pages contribution:
267-273
Fulltext / DOI:
doi:10.1097/BOR.0000000000001015
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/38533807
Print-ISSN:
1040-8711
TUM Institution:
Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski)
 BibTeX