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Titel:

Artificial intelligence and machine learning in axial spondyloarthritis.

Dokumenttyp:
Journal Article; Review
Autor(en):
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...     »
Zeitschriftentitel:
Curr Opin Rheumatol
Jahr:
2024
Band / Volume:
36
Heft / Issue:
4
Seitenangaben Beitrag:
267-273
Volltext / DOI:
doi:10.1097/BOR.0000000000001015
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/38533807
Print-ISSN:
1040-8711
TUM Einrichtung:
Institut für Diagnostische und Interventionelle Radiologie (Prof. Makowski)
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