Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radi
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.
| Condition(s) | Malignant Solid Neoplasm, Hematopoietic and Lymphatic System Neoplasm |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| 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. |
| Who can participate | 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 |
| Sex | All |
| Accepts healthy volunteers | Yes |
| Lead sponsor | Mayo Clinic |
| Locations | Scottsdale, Arizona, United States; Jacksonville, Florida, United States; Albert Lea, Minnesota, United States; Mankato, Minnesota, United States; Rochester, Minnesota, United States; Eau Claire, Wisconsin, United States (+1 more sites) |
| Start date | 2024-12-02 |
| NCT ID | NCT06200116 |
| Official listing | https://clinicaltrials.gov/study/NCT06200116 |