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NCT Number: NCT06200116

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

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.

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Key information

Conditions

Malignant Solid Neoplasm Hematopoietic and Lymphatic System Neoplasm

Sex eligibility

All sexes

Study type

Observational

Primary location

Mayo Clinic in Arizona, Scottsdale, Arizona, United States

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About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Non-Interventional Study

Other

Non-interventional study

Primary outcomes

  1. Proportion of success

    Time frame: Baseline

    Will be evaluated by question 1 of the end user survey, which evaluates the level of modification to the artificial intelligence generated auto-segmentation structures that was required (no modification, minor modification, or major modification). Auto-segmentation algorithm data will be collected through an electronic data collection form.

Interested in participating?

Recruiting

Interested in participating?

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Sponsors and collaborators

Lead sponsor

Mayo Clinic

Other

Registry information

Important dates

Study start
2024
Primary completion
2027
Study completion
2027
First posted
Jan 10, 2024
Registry last updated
Jul 8, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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