FindTrial
Sign In

Cervical vertebrae and artificial Intelligence

Cervical Vertebrae Stage Prediction in Lateral Cephalogram using Reinforcement Learning Algorithms of Artificial Intelligence

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2021/11/037928
Enrollment
800
Registered
2021-11-10
Start date
Unknown
Completion date
Unknown
Last updated
2022-02-21

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

Conditions

Health Condition 1: M261- Anomalies of jaw-cranial base relationship

Interventions

None listed

Sponsors

All India Institute of Medical Sciences Bathinda
Lead Sponsor
All India Institute of Medical Sciences
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: Non-syndromic patients Non-cleft lip and palate patients No history of previous orthodontic treatments Patients should be radiographs visual in C-2, C-3, and C-4 cervical vertebra

Exclusion criteria

Exclusion criteria: The radiograph does not have cervical vertebrae 4

Design outcomes

Primary

MeasureTime frame
Stage prediction of CVMI on lateral cephalograms using reinforced learning .Timepoint: 1 years—

Secondary

MeasureTime frame
Stage prediction using Machine learningTimepoint: 1 year—

Countries

India

Contacts

Public ContactShailendra Rana

All India Institute of Medical Sciences, Bathinda, Punjab

rana.shailu0612@gmail.com

Outcome results

None listed

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