Invention Grant
- Patent Title: Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder
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Application No.: US16235379Application Date: 2018-12-28
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Publication No.: US11276500B2Publication Date: 2022-03-15
- Inventor: Martin Andreas Styner , Sun Hyung Kim , Donald Louis Collins , Vladimir S. Fonov , Brent Carl Munsell , Joseph Piven , Heather Cody Hazlett
- Applicant: The University of North Carolina at Chapel Hill , The Royal Institution for the Advancement of Learning/McGill University , College of Charleston
- Applicant Address: US NC Chapel Hill; CA Montreal; US SC Charleston
- Assignee: The University of North Carolina at Chapel Hill,The Royal Institution for the Advancement of Learning/McGill University,College of Charleston
- Current Assignee: The University of North Carolina at Chapel Hill,The Royal Institution for the Advancement of Learning/McGill University,College of Charleston
- Current Assignee Address: US NC Chapel Hill; CA Montreal; US SC Charleston
- Agency: Jenkins, Wilson, Taylor & Hunt, P.A.
- Main IPC: G16H50/30
- IPC: G16H50/30 ; G06N3/02 ; A61B5/055 ; A61B5/00 ; G06N3/08 ; G16H30/40 ; G16H50/20 ; G06T7/00 ; G06N3/04 ; G06N20/10 ; G06N7/08
Abstract:
Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder are disclosed. One method for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder includes receiving brain imaging data for a human subject of at least one first age. The method also includes determining, from the brain imaging data, measurements of brain structural characteristics of the human subject and inputting the brain structural characteristics into a model that predicts, using the measurements of the brain structural characteristics, a diagnosis of a neurobehavioral disorder at a second age greater than the at least one first age.
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