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AI tool aims to predict Post-Surgery complications in breast cancer patients

NCT ID NCT07236658

Knowledge-focused Sponsor: Ankara Etlik City 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is developing an AI model to predict complications like lymphedema, pain, and shoulder problems after breast cancer surgery. Researchers will collect data from 133 women before and after surgery to train the AI. The goal is to create a tool that helps doctors identify high-risk patients early and intervene to prevent these issues.

What this could mean

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

What this could lead to
If successful, this could lead to a tool that helps doctors predict and prevent complications like lymphedema and pain after breast cancer surgery.
What could go wrong
This is an early-stage study focused on developing a prediction model, not testing a treatment. The AI may not be accurate enough for real-world 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.

Participants

About 133 people

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

Started

Jul 2025

Expected to finish

Jan 2027

An estimate. End dates often move.

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

The study will include adult women (over 18 years of age) who are scheduled to undergo surgery for unilateral breast cancer. Patients with a history of bilateral breast cancer, male breast cancer, inability to comply with follow-up visits, or those who are children, pregnant, postpartum, breastfeeding, in intensive care, or with impaired consciousness, as well as legally incapacitated individuals, will be excluded

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: Female sex Age ≥18 years Scheduled for surgery due to unilateral breast cancer Exclusion Criteria: Inability to comply with follow-up visits Bilateral breast cancer Male breast cancer Children (\<18 years) Pregnant women Postpartum women Breastfeeding women Individuals in intensive care Impaired consciousness Legally incapacitated individuals

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Conditions

The condition(s) this trial relates to.

breast cancer bursitis osteoporosis

As listed by the trial registrant

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

Axillary web syndrome Breast cancer surgery pain Osteoporosis secondary Postmastectomy lymphedema syndrome Shoulder adhesive capsulitis

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

  • Ankara Etlik City Hospital

    RECRUITING

    Ankara, Turkey (Türkiye)

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