Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning
NCT ID: NCT06200116
Last Updated: 2025-07-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
200 participants
OBSERVATIONAL
2024-12-02
2026-11-30
Brief Summary
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Detailed Description
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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
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Observational
Participants complete surveys about the performance/functionality of the auto-segmentation algorithm on study.
Non-Interventional Study
Non-interventional study
Interventions
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Non-Interventional Study
Non-interventional study
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
Yes
Sponsors
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Mayo Clinic
OTHER
Responsible Party
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Principal Investigators
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Doug J. Moseley, PhD
Role: PRINCIPAL_INVESTIGATOR
Mayo Clinic in Rochester
Locations
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Mayo Clinic in Arizona
Scottsdale, Arizona, United States
Mayo Clinic in Florida
Jacksonville, Florida, United States
Mayo Clinic Health System in Albert Lea
Albert Lea, Minnesota, United States
Mayo Clinic Health Systems-Mankato
Mankato, Minnesota, United States
Mayo Clinic in Rochester
Rochester, Minnesota, United States
Mayo Clinic Health System-Eau Claire Clinic
Eau Claire, Wisconsin, United States
Mayo Clinic Health System-Franciscan Healthcare
La Crosse, Wisconsin, United States
Countries
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Central Contacts
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Facility Contacts
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Related Links
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Mayo Clinic Clinical Trials
Other Identifiers
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NCI-2023-10652
Identifier Type: REGISTRY
Identifier Source: secondary_id
ROR2272
Identifier Type: OTHER
Identifier Source: secondary_id
22-004438
Identifier Type: OTHER
Identifier Source: secondary_id
ROR2272
Identifier Type: -
Identifier Source: org_study_id
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