The Development and Validation of an AI Diagnostic Model for Sacroiliitis: A Deep-Learning Approach

Abstract

The AI diagnostic model showcased a robust performance in detecting and grading sacroiliitis, reflecting its potential to enhance diagnostic accuracy in clinical settings. By facilitating earlier and more accurate diagnoses, this model could substantially impact treatment strategies and patient outcomes.