PREsurgical Cognitive Evaluation Via Digital clockfacEdrawing
Last updated on July 2021Recruitment
- Recruitment Status
- Recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Cognitive Dysfunction
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Other
Participation Requirements
- Age
- Between 65 years and 125 years
- Gender
- Both males and females
Description
This proposal innovatively leverages a brief but informative digital test with machine learning to examine the subtlety of pre-surgery cognition within an extremely large number of older individuals screened preoperatively within an academic tertiary medical center. It also incorporates a unique gro...
This proposal innovatively leverages a brief but informative digital test with machine learning to examine the subtlety of pre-surgery cognition within an extremely large number of older individuals screened preoperatively within an academic tertiary medical center. It also incorporates a unique group of well characterized non-surgery peers for demographic matching to assist with normal versus abnormal machine learning analyses.
Tracking Information
- NCT #
- NCT03175302
- Collaborators
- National Institute on Aging (NIA)
- National Center for Advancing Translational Science (NCATS)
- Investigators
- Principal Investigator: Catherine Price, Ph.D. University of Florida Principal Investigator: Patrick Tighe, MD, MS University of Florida
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