Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

Can AI help doctors spot diseases faster and better?

NCT ID NCT07555002

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

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed This study
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

310 people

The number who actually took part.

Started

Jan 2026

Finished

Jul 2026

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Patients from multiple medical centers in China who underwent systemic CT imaging for various clinical indications, representing a broad range of common systemic diseases.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Patients who underwent CT examinations for common systemic diseases. * Imaging data must have confirmed clinical reference standards, expert consensus, or pathological diagnosis. * Availability of complete DICOM format images with standard acquisition protocols. Exclusion Criteria: * 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.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Artificial intelligence (AI) are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

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

More trials for these conditions

Other studies related to the condition(s) this trial covers.