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Artificial intelligence assisted Model for diagnosing types of dementia in patients with memory loss using MRI data for early and timely treatment.

Artificial Intelligence-assisted Dementia Prediction Model - AIDPM

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/07/071749
Enrollment
1625
Registered
2024-07-31
Start date
Unknown
Completion date
Unknown
Last updated
2024-08-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: G309- Alzheimers disease, unspecified Health Condition 2: G310- Frontotemporal dementia Health Condition 3: G318- Other specified degenerative diseases of nervous system

Interventions

None listed

Sponsors

Dr Deepak Patkar
Lead Sponsor

Eligibility

Inclusion criteria

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

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

Design outcomes

Primary

MeasureTime frame
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—

Secondary

MeasureTime frame
Training and testing the model on 500 retrospective patients dataTimepoint: 2 years—

Countries

India

Contacts

Public ContactDr Deepak Patkar

Nanavati Max Super Speciality Hospital

drdppatkar@gmail.com09821136677

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026