Artificial intelligence assisted Model for diagnosing types of dementia in patients with memory loss using MRI data for early and timely treatment.
Not Applicable
- Conditions
- Health Condition 1: G309- Alzheimers disease, unspecifiedHealth Condition 2: G310- Frontotemporal dementiaHealth Condition 3: G318- Other specified degenerative diseases of nervous system
- Registration Number
- CTRI/2024/07/071749
- Lead Sponsor
- Dr Deepak Patkar
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Inclusion Criteria
Be aged 65 years or older
Have a diagnosis of dementia by a specialist (Geriatric, Psychiatrist, or Neurologist)
Have a live-in caregiver
Live in their own homes
Exclusion Criteria
Schizophrenia
Memory complaints
Wear a pacemaker
Diagnostic of neurological disorder – stroke, epilepsy, multiple sclerosis, traumatic brain injury, brain tumor
Contraindications to magnetic resonance imaging
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method The primary outcome of the study aims to develop, train and test an AI-assisted model for predicting the type of dementia based on retrospective cross-sectional data.Timepoint: 5 years <br/ ><br>
- Secondary Outcome Measures
Name Time Method Training and testing the model on 500 retrospective patients dataTimepoint: 2 years