CTRI/2025/11/098009Not yet recruitingNot Applicable
Deep Learning Predictive Model for Cognitive and Functional Status among Middle-aged and Elderly Population
Not provided1 site in 1 country346 target enrollmentStarted: December 10, 2025Last updated:
Trial Snapshot
- Phase
- Not Applicable
- Status
- Not yet recruiting
- Enrollment
- 346
- Locations
- 1
Study Overview
Brief Summary
This observational cross-sectional study aims to assess cognitive and functional status in adults aged 44–75 years using standardized assessment tools. The study will also develop a deep learning model to predict cognitive performance based on demographic and clinical variables. Findings may support early identification of individuals at risk of cognitive decline and guide future screening approaches.
Study Design
- Study Type
- Observational
Eligibility Criteria
- Ages
- 44.00 Year(s) to 75.00 Year(s) (—)
- Sex
- All
Inclusion Criteria
- •Participants aged 44–75 years (middle-aged 44–60; elderly 60–75) who are medically stable, able to provide informed consent, and capable of face-to-face assessments with sufficient cognitive awareness to understand the evaluation tools will be included.
Exclusion Criteria
- •Have a diagnosed neurodegenerative condition (e.g., Alzheimer’s disease, Parkinson’s disease) Suffer from severe psychiatric disorders or intellectual disabilities Have hearing, vision, or communication impairments that may interfere with assessment Are currently hospitalized or undergoing acute medical treatment Are unwilling or unable to comply with the study protocol.
Investigators
Pooja Dogra
Chitkara University, Rajpura
Study Sites (1)
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