Performance of artificial intelligence tools in axial spondyloarthritis imaging assessment: A systematic literature review and meta-analysis

Key Points

• AI tools show significant promise in imaging assessment for axial spondyloarthritis, enhancing diagnostic accuracy.
• The analysis synthesized multiple studies, indicating a high level of performance in identifying disease characteristics.
• Systematic review and meta-analysis of existing literature highlight the comprehensive capability of AI applications in this field.
• Further validation in diverse clinical settings may support widespread adoption of AI in axial spondyloarthritis imaging.