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Developing an Artificial intelligence system to identify anatomical structures in radiographs

Developing an Artificial Intelligence model in detecting Mandibular canal, Mental foramen and Maxillary sinus in Panoramic radiographs - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/02/062448
Enrollment
10000
Registered
2024-02-08
Start date
Unknown
Completion date
Unknown
Last updated
2024-03-04

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

Conditions

None listed

Interventions

Intervention1: NIL: NIL

Sponsors

Vobilineni Vinathi Sai Subhanika
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Panoramic radiographs of subjects whose age is above 14 years. 2. Region of interest in panoramic radiographs should be well defined.

Exclusion criteria

Exclusion criteria: Panoramic radiographs with the presence of artifacts.

Design outcomes

Primary

MeasureTime frame
Detection of Mandibular Canal, Mental Foramen and Maxillary SinusTimepoint: Baseline—

Secondary

MeasureTime frame
Detection of Maxillary Sinus Pneumatization and Maxillary Sinus PathologiesTimepoint: Baseline—

Countries

India

Contacts

Public ContactVobilineni Vinathi Sai Subhanika

Sibar Institute of Dental Sciences

dra.samatha@gmail.com9391307194

Outcome results

None listed

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