This study aims to evaluate the diagnostic performance and clinical utility of a multimodal medical imaging large model in identifying common systemic diseases. Through a retrospective reader study involving multiple centers, the research will compare the diagnostic accuracy, sensitivity, and specificity of radiologists with and without AI assistance. The goal is to validate the model's robustness and its impact on the diagnostic efficiency of clinicians across diverse healthcare settings.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Area Under the Receiver Operating Characteristic Curve (AUC)
Timeframe: Through study completion, approximately 12 months.