Prospective User Study and Multicenter Validation of Multimodal Medical Imaging Large Models
Prospective User Study and Multicenter Validation of Multimodal Medical Imaging Large Models in the Diagnosis of Common Systemic Diseases
The Third Affiliated Hospital of Southern Medical University
1,000 participants
Jan 1, 2026
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria3
- Patients who underwent systemic medical imaging examinations (e.g., CT or MRI) at participating centers for common systemic diseases.
- Imaging data must have a confirmed clinical reference standard, expert consensus, or pathological diagnosis.
- Availability of complete DICOM format images with standard acquisition protocols.
Exclusion Criteria2
- Poor image quality (e.g., severe motion or metal artifacts) that precludes definitive diagnosis.
- Cases with incomplete clinical or pathological reference standards. Corrupted image files or duplicate cases.
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Interventions
Radiologists interpret the medical images independently without any assistance from the AI model to establish a baseline performance.
Radiologists interpret the same set of medical images with the assistance of the multimodal medical imaging large model to evaluate the improvement in diagnostic performance.
Locations(1)
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NCT07555002