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Detection of Diabetes and Gum Disease Using Fingerprints and AI

Development of an AI-Based Model for Detecting Diabetes and Periodontitis Using Dermatoglyphic Patterns A cross sectional study - nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/03/106849
Enrollment
4000
Registered
2026-03-24
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: K053- Chronic periodontitis

Interventions

Intervention1: Diabetes with chronic periodontitis: Diabetes with chronic periodontitis Intervention2: nil: nil Control Intervention1: Periodontally healthy: Periodontally healthy Control Intervention

Sponsors

Surekha Rathod
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1.Individuals aged between 20-50 years. 2.Diagnosed cases of diabetes mellitus (Type 2) and chronic periodontitis. 3.Willingness to participate and provide informed consent.

Exclusion criteria

Exclusion criteria: 1.Individuals with systemic conditions other than diabetes that may affect periodontal status. 2.Patients with hand deformities or skin conditions affecting dermatoglyphic quality. 3.Individuals on medications influencing glycemic control or periodontal status (e.g., steroids)

Design outcomes

Primary

MeasureTime frame
develop an AI-based model for detecting diabetes mellitus and chronic periodontitis using dermatoglyphic pattern analysisTimepoint: baseline—

Secondary

MeasureTime frame
establish dermatoglyphic pattern differences among chronic periodontitis individuals with and without DiabetesTimepoint: baseline—

Countries

India

Contacts

Public ContactDR SUREKHA RATHOD

Ranjeet Deshmukh Dental College, Nagpur

drsurekhar@gmail.com09011071477

Outcome results

None listed

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