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

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

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Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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

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

Study details
    Malignant Solid Neoplasm
    Hematopoietic and Lymphatic System Neoplasm

NCT06200116

Mayo Clinic

8 August 2025

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