Evaluating a new AI tool for radiation therapy planning
Official title: Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning
Run by Mayo Clinic · NCT06200116 · Data updated 2026-11-12
This study tests a new AI tool that helps medical staff at Mayo Clinic plan radiation therapy by automatically outlining important areas on CT scans to see if it makes their job easier and more accurate.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | Mayo Clinic Academic / other |
| Drugs / interventions | radiation |
| Locations | 7 sites (Scottsdale, Arizona and 6 other locations) |
| Status | Recruiting |
| Started | December 2, 2024 |
| Main results expected | November 30, 2027 |
| Study ends | November 30, 2027 |
| Registry record updated | July 8, 2026 |
| Trial ID | NCT06200116 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are clinical staff employed at Mayo Clinic facilities who are involved in normal tissue segmentation for radiation therapy.
✕Probably not a fit
Patients who are not employed at Mayo Clinic or who cannot complete the study surveys will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study assesses the effectiveness of a novel artificial intelligence algorithm designed for auto-segmentation of CT scans in radiation treatment planning. Participants, who are clinical staff at Mayo Clinic locations, will complete surveys to provide feedback on the algorithm's performance and functionality. The primary objective is to gather insights on how well the AI tool delineates normal structures during the planning process for radiation therapy. This study aims to enhance the accuracy and efficiency of radiation treatment planning through advanced technology.
Why it matters
Potential benefit: If successful, this study could improve the precision of radiation therapy planning, leading to better treatment outcomes for patients with cancer.
How similar studies have gone: Other studies have shown promise in using AI for medical imaging and segmentation, indicating potential success for this novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
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
Where it's running
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Mayo Clinic in Arizona
Scottsdale, Arizona, United States Recruiting -
Mayo Clinic in Florida
Jacksonville, Florida, United States Recruiting -
Mayo Clinic Health System in Albert Lea
Albert Lea, Minnesota, United States Recruiting -
Mayo Clinic Health Systems-Mankato
Mankato, Minnesota, United States Recruiting -
Mayo Clinic in Rochester
Rochester, Minnesota, United States Recruiting -
Mayo Clinic Health System-Eau Claire Clinic
Eau Claire, Wisconsin, United States Recruiting
Show 1 more location
-
Mayo Clinic Health System-Franciscan Healthcare
La Crosse, Wisconsin, United States Recruiting
Study contacts
- Principal investigator: Doug J. Moseley, PhD — Mayo Clinic in Rochester
- Study coordinator: Clinical Trials Referral Office
- Email: mayocliniccancerstudies@mayo.edu
- Phone: 855-776-0015
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.