Trials / Recruiting
RecruitingNCT06200116
Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (estimated)
- Sponsor
- Mayo Clinic · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
This study measures the utility of a novel artificial intelligence (AI) algorithm for performing auto-segmentation of computed tomography (CT) scans for radiation therapy planning.
Detailed description
PRIMARY OBJECTIVE: I. To measure the observed utility of an AI algorithm for normal segmentation by recording study subjects' observations of its function. OUTLINE: This is an observational study. Participants complete surveys about the performance/functionality of the auto-segmentation algorithm on study.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | Non-Interventional Study | Non-interventional study |
Timeline
- Start date
- 2024-12-02
- Primary completion
- 2026-11-30
- Completion
- 2026-11-30
- First posted
- 2024-01-10
- Last updated
- 2025-07-24
Locations
7 sites across 1 country: United States
Source: ClinicalTrials.gov record NCT06200116. Inclusion in this directory is not an endorsement.