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Can AI read the hidden clues in mammograms?

NCT ID NCT06469606

Knowledge-focused Sponsor: Tampere University Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 05, 2026 · Last updated Aug 06, 2026 · Updated 1 time

Summary

This study looks at how imaging settings and biological factors affect texture features in mammograms. Researchers will use an AI tool to analyze mammograms from 200 women undergoing mastectomy. The goal is to understand these influences to make AI-based breast cancer detection more reliable and useful in everyday practice.

What this could mean

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

Active substance
AI tool for mammographic texture analysis
What this could lead to
If successful, this could make AI-based breast cancer detection more reliable and personalized by accounting for imaging and biological factors.
What could go wrong
This is an observational study, so it won't directly test a treatment. The AI tool's performance may vary and needs further validation before clinical use.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 200 people

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

Started

Jun 2024

Expected to finish

Dec 2038

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.

Ages

18 years and older

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: * Candidate is a biological female aged 18 years or above; * Candidate is willing and able to give informed consent and gives their written consent for the participation in the study; * There is a clinical indication for a uni- or bilateral mastectomy Exclusion Criteria: * Candidate lacks the capacity to provide informed consent; * Candidate has breast implants

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Conditions

The condition(s) this trial relates to.

breast cancer breast neoplasm

As listed by the trial registrant

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

Artificial intelligence Breast cancer Mammography

How to take part

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

  1. The places running it

    1 site. 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

  • Wellbeing Services County of Pirkanmaa

    RECRUITING

    Tampere, Finland

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