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.
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.
Evaluation of a Novel Auto Segmentation Algorithm for Normal Structure Delineation in Radiation Treatment Planning
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Mayo Clinic in Arizona, Scottsdale, Arizona, United States, 85259
Mayo Clinic in Florida, Jacksonville, Florida, United States, 32224-9980
Mayo Clinic Health System in Albert Lea, Albert Lea, Minnesota, United States, 56007
Mayo Clinic Health Systems-Mankato, Mankato, Minnesota, United States, 56001
Mayo Clinic in Rochester, Rochester, Minnesota, United States, 55905
Mayo Clinic Health System-Eau Claire Clinic, Eau Claire, Wisconsin, United States, 54701
Mayo Clinic Health System-Franciscan Healthcare, La Crosse, Wisconsin, United States, 54601
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
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Mayo Clinic,
Bradley J. Stish, M.D., PRINCIPAL_INVESTIGATOR, Mayo Clinic in Rochester
2026-11-30