Observational Study of AI for Radiation Treatment Planning

This study is looking at a new artificial intelligence (AI) tool that helps with radiation treatment planning for people with cancer. Specifically, it's testing how well this AI tool can automatically outline normal body parts (organs and tissues) on CT scans. The goal is to see how useful this AI algorithm is in practice. This is an observational study, meaning researchers will watch and record how the AI tool works without directly intervening. The study aims to enroll 200 participants who are clinical staff at Mayo Clinic locations and involved in normal tissue segmentation. Success for this study is measured by the proportion of times the AI tool is observed to work well. The current status of this study is unclear.

Study design
This is an observational study with a planned enrollment of 200 participants. It is not a randomized or blinded study.
What's involved
You would complete surveys about how well the auto-segmentation algorithm performs and functions.
Compensation
Not stated in the trial record.
Follow-up
The primary success is measured at Baseline, implying no long-term follow-up after initial observation.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT06200116

Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning

Recruiting
Not specifiedAll AgesObservational
Mayo Clinic
~200 participants
Updated 2026-07-08 on ClinicalTrials.gov
What's tested:Non-Interventional Study

At a glance

Recruiting sites
7 of 7 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Proportion of success
Measured over Baseline
Malignant Solid Neoplasm
Hematopoietic and Lymphatic System Neoplasm

NCT06200116

Where you'd take part

This study runs at 7 sites. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • Mayo Clinic Health System in Albert Lea

    Albert Lea, Minnesotastudy coordinator listed

    Recruiting

  • Mayo Clinic Health System-Eau Claire Clinic

    Eau Claire, Wisconsinstudy coordinator listed

    Recruiting

  • Mayo Clinic Health System-Franciscan Healthcare

    La Crosse, Wisconsinstudy coordinator listed

    Recruiting

  • Mayo Clinic Health Systems-Mankato

    Mankato, Minnesotastudy coordinator listed

    Recruiting

  • Mayo Clinic in Arizona

    Scottsdale, Arizonastudy coordinator listed

    Recruiting

  • Mayo Clinic in Florida

    Jacksonville, Floridastudy coordinator listed

    Recruiting

  • Mayo Clinic in Rochester

    Rochester, Minnesotastudy coordinator listed

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

  • Doug J. Moseley, PhD · PRINCIPAL_INVESTIGATOR · Mayo Clinic in Rochester

Opens a ready-to-send draft in your own email app — review before sending.

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Eligibility criteria

Inclusion

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

Inability to complete study surveys
  • Proportion of successBaseline

    Will be evaluated by question 1 of the end user survey, which evaluates the level of modification to the artificial intelligence generated auto-segmentation structures that was required (no modification, minor modification, or major modification). Auto-segmentation algorithm data will be collected through an electronic data collection form.