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AI outperforms some doctors in spotting thyroid cancer on ultrasound

NCT ID NCT07496684

Diagnosis Sponsor: Ma Zhe Source: ClinicalTrials.gov ↗

What the study statuses mean

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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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Aug 13, 2026 · Updated 2 times

Summary

This study tested an artificial intelligence (AI) system called Vision-LSTM to see if it could accurately diagnose a specific type of thyroid nodule (TI-RADS 4b) from ultrasound images. Researchers used images from 401 patients and compared the AI's performance to that of junior and senior doctors. The goal was to see if AI could help improve diagnostic accuracy and reduce the need for unnecessary biopsies.

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

401 people

The number who actually took part.

Started

Jan 2022

Finished

Dec 2024

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

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 with thyroid nodules who were seen at the First Affiliated Hospital of Shandong First Medical University from January 2022 to December 2024

Ages

20 to 78 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

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:(1) Patients with thyroid nodules visible on ultrasound who underwent biopsy and/or surgical resection. (2) Diagnosed as TI-RADS category 4b on the basis of preoperative ultrasound images by two sonographers with more than 5 years of experience in thyroid ultrasound diagnosis. (3) All nodules underwent puncture biopsy or surgery to obtain pathologic results. \- Exclusion Criteria:(1)The quality of the patient's ultrasound images was poor. (2) The patient has incomplete clinical and imaging data. (3) The patient has had thyroid surgery or other treatment. \-

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Conditions

The condition(s) this trial relates to.

thyroid cancer Thyroid Neoplasms

As listed by the trial registrant

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

Thyroid cancer

Contacts and locations

Locations

  • QianfoshanH

    Jinan, Shandong, China

More trials for these conditions

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