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Artificial neural network can help in sex determination based on skeletal structures and facial soft tissue thickness

MORPHOMETRIC SEX IDENTIFICATION AND FORENSIC FACIAL SOFT TISSUE THICKNESS ASSESSMENT IN THE INDIAN POPULATION: A CBCT BASED STUDY USING NEURAL NETWORKS

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2020/08/027010
Enrollment
450
Registered
2020-08-07
Start date
Unknown
Completion date
Unknown
Last updated
2023-09-18

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

Conditions

None listed

Interventions

None listed

Sponsors

SRI BALAJI VIDHYAPEETH UNIVERSITY
Lead Sponsor
MALABAR DENTAL COLLEGE AND RESEARCH CENTRE
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: Image of Subjects aged above 18 years who were referred for CBCT evaluation of the head and neck region CBCT images without any artefacts or distortions.

Exclusion criteria

Exclusion criteria: CBCT images with facial trauma, evidence of sinus pathology or previous surgery Distorted images or images with artefacts

Design outcomes

Primary

MeasureTime frame
TO CHECK THE FACIAL SOFT TISSUE THICKNESS USING CBCT IMAGE AND APPLIED TO NEURAL NETWORKS After checking the thicknessTimepoint: 4 WEEKS—

Secondary

MeasureTime frame
USING THESE THICKNESS TO MAKE THE FORENSIC FACIAL RECONSTRUCTION AND USE ARTIFICIAL INTELLIGENCETimepoint: 4 WEEKS—

Countries

India

Contacts

Public ContactDr Jijin M J

MALABAR DENTAL COLLEGE AND RESEARCH CENTRE

drjijin@gmail.com9633643642

Outcome results

None listed

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