Can AI help doctors spot diseases faster and better?

NCT ID NCT07555002

Completed Diagnosis Sponsor: The Third Affiliated Hospital of Southern Medical University Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Aug 07, 2026 · Updated 2 times

Summary

This study tests whether an AI tool can help radiologists diagnose common diseases from medical scans like CT or MRI. About 1,000 patients' images will be reviewed by radiologists with and without AI assistance. The goal is to see if AI improves accuracy, speed, and report quality.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: multimodal medical imaging large model (AI software)
What this could lead to: If successful, this could show that AI assistance improves diagnostic accuracy and speed for common diseases, potentially leading to wider use of AI in radiology.
What could go wrong: This is an early-stage validation study, not a treatment trial. The AI may not perform consistently across different hospitals or image types, and results may not translate to real-world clinical practice.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

ARTIFICIAL INTELLIGENCE (AI) COMMON SYSTEMIC DISEASES DIAGNOSTIC IMAGING

Contacts and locations

Locations

The Third Affiliated Hospital of Southern Medical University

Guangzhou, Guangdong, 510630, China

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