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AI BASED FACIAL ANALYSIS TO DETERMINE MIZAJ IN INDIVIDUALS

Development of An AI-based Facial Feature recognition Tool for Mizaj Determination - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/03/107106
Enrollment
200
Registered
2026-03-30
Start date
Unknown
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

None listed

Interventions

Intervention1: Nil: Nil

Sponsors

AYURVEDIC AND UNANI TIBBIA COLLEGE AND HOSPITAL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Apparently healthy individuals, Person of adult male / female, Person with age from 18 years, Person with age up to 60 years, Person willing to participate and sign the consent form

Exclusion criteria

Exclusion criteria: Any Facial deformities or congenital abnormalities that alter the facial structure,Neurological or musculoskeletal disorders affecting facial expression,Scars, burns, or injuries on the face that obscure key features,Recent facial surgeries,Acute or chronic skin conditions (like severe acne,rashes, or swelling) affecting facial appearance,Cases where there is conflict or ambiguity in Mizaj assessment

Design outcomes

Primary

MeasureTime frame
Diagnostic accuracy of the AI-based facial recognition tool for Mizaj determinationTimepoint: All outcomes will be assessed at baseline during the study visit—

Secondary

MeasureTime frame
Association and predictive value of specific facial features in determining Mizaj categoriesTimepoint: Immediate Comparison after assessment—

Countries

India

Contacts

Public ContactDr MOHAMMAD TARIQ

AYURVEDIC AND UNANI TIBBIA COLLEGE AND HOSPITAL

nazmeendr@gmail.com9220037134

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: May 1, 2026