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Prospective User Study and Multicenter Validation of Multimodal Medical Imaging Large Models

NCT07555002 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2026-05-08

No results posted yet for this study

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.

Conditions

  • Diagnostic Imaging
  • Common Systemic Diseases
  • Artificial Intelligence (AI)

Interventions

OTHER

Standalone Radiologist Interpretation

Radiologists interpret the medical images independently without any assistance from the AI model to establish a baseline performance.

OTHER

AI-assisted Radiologist Interpretation

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.

Sponsors & Collaborators

  • The Third Affiliated Hospital of Southern Medical University

    lead OTHER_GOV

Principal Investigators

  • Yinghua Zhao, PhD · The Third Affiliated Hospital of Southern Medical University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07555002 on ClinicalTrials.gov