Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI could speed up radiation planning by automatically mapping healthy tissues

NCT ID NCT06200116

Knowledge-focused Sponsor: Mayo Clinic 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 08, 2026 · Last updated Jul 09, 2026 · Updated 1 time

Summary

This study evaluates an artificial intelligence algorithm designed to automatically outline normal organs on CT scans used for radiation therapy planning. Researchers want to see how often the AI's outlines need no, minor, or major changes by clinicians. The study involves 200 radiation therapy staff at Mayo Clinic locations who regularly perform this segmentation task. If the AI performs well, it could save time and improve consistency in treatment planning.

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 AI tool could make radiation treatment planning faster and more consistent, reducing manual work for clinicians.
What could go wrong
This is an observational study measuring user feedback, not patient outcomes. The AI may still require significant manual adjustments in 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

About 200 people

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

Started

Dec 2024

Expected to finish

Nov 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

All employed medical dosimetrists or medical dosimetry assistants who routinely perform review of AI generated auto-segmentation of normal tissues.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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: * Employment at Mayo Clinic Arizona, Florida, or Rochester (which includes Regional Practice sites located at Mayo Clinic Health System locations) as train clinical staff that participate in normal tissue segmentation Exclusion Criteria: * Inability to complete study surveys

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Hematopoietic and lymphatic system neoplasm are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

cancer hematopoietic and lymphoid system neoplasm

As listed by the trial registrant

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

Hematopoietic and lymphatic system neoplasm Malignant solid neoplasm

How to take part

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

  1. The study's own enquiry address

    This study publishes an address for enquiries. See it below .

  2. The places running it

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

  3. 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 ↗

  4. 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

Study contacts

  • Contact

    Email: •••••@•••••

Locations

  • Mayo Clinic Health System in Albert Lea

    RECRUITING

    Albert Lea, Minnesota, 56007, United States

    Contact Email: •••••@•••••

  • Mayo Clinic Health System-Eau Claire Clinic

    RECRUITING

    Eau Claire, Wisconsin, 54701, United States

    Contact Email: •••••@•••••

  • Mayo Clinic Health System-Franciscan Healthcare

    RECRUITING

    La Crosse, Wisconsin, 54601, United States

    Contact Email: •••••@•••••

  • Mayo Clinic Health Systems-Mankato

    RECRUITING

    Mankato, Minnesota, 56001, United States

    Contact Email: •••••@•••••

  • Mayo Clinic in Arizona

    RECRUITING

    Scottsdale, Arizona, 85259, United States

    Contact Email: •••••@•••••

  • Mayo Clinic in Florida

    RECRUITING

    Jacksonville, Florida, 32224-9980, United States

    Contact Email: •••••@•••••

  • Mayo Clinic in Rochester

    RECRUITING

    Rochester, Minnesota, 55905, United States

    Contact Email: •••••@•••••

More trials for these conditions

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