Clinical Research Directory

Clinical Application of Artificial Intelligence Methods in Diagnostic Imaging of Pulmonary Nodules

Sponsor: Shanghai East Hospital

Summary

This is a retrospective, multicenter observational study evaluating the clinical value of combining high-resolution (1024×1024 matrix) targeted CT scans with an artificial intelligence (AI) deep learning system to distinguish between benign and malignant pulmonary nodules. By analyzing existing medical records and CT images of adult patients (aged 18 and older) with pulmonary nodules (3-30 mm) who have confirmed diagnoses (via postoperative pathology）, this study aims to assess the diagnostic accuracy and efficiency of the AI system. The study plans to enroll approximately 10,000 cases from three hospitals in Shanghai. The primary goal is to evaluate the AI system's diagnostic performance (such as sensitivity, specificity, and Area Under the ROC Curve) and compare it with the performance of radiologists, ultimately exploring whether this combined approach can provide more accurate clinical diagnoses and reduce unnecessary procedures.

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