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A Study to Evaluate an AI Algorithm for Segmenting Adipose and Skeletal Muscle in Abdominal Imaging

Overview

About this study

The purpose of this study is to determine if the AI generated results are less arduous than manual tracing by radiologists, and to determine the non-inferiority of the quality of AI vs manual tracing.  These aims will be evaluated in a clinical environment to investigate the impact of an AI algorithm on the clinical workflow.

Participation eligibility

Participant eligibility includes age, gender, type and stage of disease, and previous treatments or health concerns. Guidelines differ from study to study, and identify who can or cannot participate. There is no guarantee that every individual who qualifies and wants to participate in a trial will be enrolled. Contact the study team to discuss study eligibility and potential participation.

Inclusion Criteria:

  • Patient - routine abdominal CT imaging as selected by radiologist.
  • Physician - member of Mayo Clinic’s staff. Physician participants must agree to the consent statement verbally or via email.

Exclusion Criteria:

  • Patient - any contra-indication for CT imaging.
  • Physician - none.

Participating Mayo Clinic locations

Study statuses change often. Please contact the study team for the most up-to-date information regarding possible participation.

Mayo Clinic Location Status Contact

Rochester, Minn.

Mayo Clinic principal investigator

Daniel Blezek, Ph.D.

Contact us for the latest status

Contact information:

Daniel Blezek Ph.D.

Blezek.Daniel@mayo.edu

More information

Publications

Publications are currently not available

More about research at Mayo Clinic

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CLS-20506992

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