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AI coaching may turn novice ultrasound operators into expert-level diagnosticians

NCT ID NCT07801209

Knowledge-focused Sponsor: Women's Hospital School Of Medicine Zhejiang University 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 This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Sep 03, 2026 · Last updated Sep 04, 2026 · Updated 1 time

Summary

This trial tests whether an AI system can guide junior sonographers, those with less than three years of experience, to scan and diagnose ovarian masses more accurately. Participants undergo ultrasound exams performed by these sonographers, either with or without AI assistance. Researchers compare the AI-assisted results to unassisted ones and to expert sonographers' assessments, aiming to see if AI can help novices reach expert-level skill in real clinical settings.

What this could mean

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

Active substance
AI-assisted ultrasound scanning and diagnosis system
What this could lead to
If it works, AI guidance could help less experienced sonographers scan and diagnose ovarian masses with expert-level accuracy, improving care where specialists are scarce.
What could go wrong
The trial is early and measures operator performance, not direct patient outcomes. AI assistance may not improve accuracy in real-world settings, and results depend on the quality of the AI system and operator training.

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

About 250 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Aug 2026

An estimate. Start dates often move.

Expected to finish

Mar 2027

An estimate. End dates often move.

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

Participants, with suspected ovarian masses identified clinically or by previous imaging examination, will be consecutively recruited from gynecological ultrasound clinics of tertiary cancer centers and primary healthcare institutions across China.

Ages

18 to 75 years

Sex

Female participants only

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: * Female aged 18-75 years * With suspected ovarian masses identified clinically or by previous imaging examination * Eligible for and able to undergo transvaginal or transabdominal ultrasonography * Agree to provide written informed consent before enrollment Exclusion Criteria: * No ovarian mass identified on ultrasound examination * Previous bilateral oophorectomy * Previous surgery or chemotherapy for ovarian cancer * Previous treatment for other malignant tumors * Presence of any psychiatric or psychological disorders that may prevent completion of the study procedures or follow-up * Concurrent participation in other clinical trials that may interfere with the outcomes of this study

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As listed by the trial registrant

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

Adnexal mass Ovarian mass

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    2 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Shaoxing Maternity and Child Health Care Hospital

    Shaoxing, Zhejiang, 311800, China

  • Women's Hospital School Of Medicine Zhejiang University

    Hangzhou, Zhejiang, 310006, China

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