Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning
Mayo Clinic
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.
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.
Eligibility
- Age range
- Not specified
- Sex
- All
- Healthy volunteers
- Yes
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
Interventions
- OtherNon-Interventional Study
Non-interventional study
Locations (7)
- Mayo Clinic in ArizonaScottsdale, Arizona
- Mayo Clinic in FloridaJacksonville, Florida
- Mayo Clinic Health System in Albert LeaAlbert Lea, Minnesota
- Mayo Clinic Health Systems-MankatoMankato, Minnesota
- Mayo Clinic in RochesterRochester, Minnesota
- Mayo Clinic Health System-Eau Claire ClinicEau Claire, Wisconsin