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Development of Artificial Intelligence based program to assess the level of maturation of bone and to detect any abnormalities in the upper spine by using head x-rays (side view) of children having cleft, that is, split in the upper lip and palate.

Artificial Intelligence Based Algorithm For Assessment of Skeletal Age and Detection of Cervical Vertebral Anomalies in Lateral Cephalogram in Children with Cleft Lip and Palate - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2023/09/057228
Enrollment
1000
Registered
2023-09-04
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

Health Condition 1: Q378- Unspecified cleft palate with bilateral cleft lip

Interventions

Intervention1: NIL: NIL

Sponsors

Gaithoiliu Kamei
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Individuals having cleft lip and palate without any associated syndromes, congenital disorders, previous history of trauma/ illness.

Exclusion criteria

Exclusion criteria: Individuals who are not age-matched with the inclusion criteria. Individuals having cleft lip and palate associated with any associated syndromes, congenital disorders, previous history of trauma/ illness. Individuals with systemic diseases affecting bone density.

Design outcomes

Primary

MeasureTime frame
To be able to detect & compare skeletal age in cleft & non cleft patientsTimepoint: One year—

Secondary

MeasureTime frame
To accurately detect anomalies in the cervical vertebrae in cleft & non cleft patientsTimepoint: 1 year—

Countries

India

Contacts

Public ContactGaithoiliu Kamei

MANAV RACHNA DENTAL COLLEGE FARIDABAD

drpuneetbatra@gmail.com09810335961

Outcome results

None listed

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