Skip to content

Deep Learning Modeland Brain Data for Early Detection of Neurocognitive Decline

A Novel Approach for the Early Diagnosis of Neurocognitive Disorders (NCDs): Integration of EEG Parameters, Clinical and Radiological Data with Advanced Deep Learning Models - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/07/091442
Enrollment
1036
Registered
2025-07-22
Start date
Unknown
Completion date
Unknown
Last updated
2026-03-30

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

Interventions

Intervention1: Nil: Nil Intervention2: Nil: Nil

Sponsors

INTELLIHEALTH WORLD PVT LTD
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Diagnosis of mild or major neurocognitive disorder Cut-off scores for neuropsychological cognitive assessment tests. (MMSE, MoCA, ACE 3, FAB, LBCRS, Hanchinski ischemic score)

Exclusion criteria

Exclusion criteria: 1. Conditions mimicking NCD (moderate to severe depression, stroke, Parkinsonism, Epilepsy, endocrine disorders, metabolic disorders, HIV, Brain infections, Vitamin B12 and other nutritional deficiencies, NPH, SDH, paraneoplastic syndrome and autoimmune encephalitis, demyelinating disorders, CJD, Huntington s disease, Spino-cerebellar ataxia) 2. Significant head injury 3. Current or past history of major psychiatric disorders (e.g severe depression, schizophrenia, bipolar disorder). 4. Substance abuse (including alcohol) or dependence within the past 5 years. Drug intoxication or abuse. 5. Visual/auditory impairments hindering cognitive tasks.

Design outcomes

Primary

MeasureTime frame
Identify early electrophysiological markers Classify neurocognitive disorders Improve early diagnosis Enable personalized interventionsTimepoint: Recruitment happens during Year 1 and Year 2. Follow-up extends through Year 3 and Year 4. Data analysis and manuscript writing align with Model Evaluation and Reporting phases.

Secondary

MeasureTime frame
NilTimepoint: Nil

Countries

India

Contacts

Public ContactDr. Arunav Garg

Max Super Speciality Hospital (West)

arunav.garg@maxhealthcare.com9873789160

Outcome results

None listed

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