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This study checks how well a computer program that learns from examples (called AI) can match skin colors for facial prosthetics in Indian patients, using a device that measures skin color called a spectrophotometer

Evaluation of Convolution Neural Network (CNN) - driven Artificial Intelligence application for precise colour matching in Maxillofacial Prosthodontics for Indian skin tones using Spectrophotometer. - Nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/05/086326
Enrollment
10
Registered
2025-05-05
Start date
Unknown
Completion date
Unknown
Last updated
2025-05-26

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

Conditions

Health Condition 1: L99- Other disorders of skin and subcutaneous tissue in diseases classified elsewhere

Interventions

Intervention1: Nil: Nil Control Intervention1: Nil: Nil

Sponsors

Datta Meghe Institute of Higher Education and Research
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patient should belong to Indian population. Patient with Maxillofacial defects.

Exclusion criteria

Exclusion criteria: Patient underlying any dermatological diseases Patients with only ocular defects

Design outcomes

Primary

MeasureTime frame
The CNN based AI application will demonstrate superior color matching accuracy (lower deltaE values) compared to conventional methods.Timepoint: Colour matching will be done after the Try in procedure.—

Secondary

MeasureTime frame
NilTimepoint: Nil—

Countries

India

Contacts

Public ContactDr Sweta Kale Pisulkar

Datta Meghe Institute of Higher Education and Research

drsweta15@gmail.com9881215746

Outcome results

None listed

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