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application of Artificial intelligence for testing and training in identification of osteoporosis in panoramic radiographs

Traning and testing of an Artificial Intelligence model in detection of Osteoporosis in panaromic radiographs. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/02/062328
Enrollment
20000
Registered
2024-02-06
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

Control Intervention1: nill: nill

Sponsors

PokaLakshmi Bhargavi
Lead Sponsor

Eligibility

Inclusion criteria

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

Exclusion criteria

Exclusion criteria: Panoramic radiographs of subjects who have underwent mandibular surgery procedures involving partial or complete mandibulectomy. Panoramic radiographs with pathologies involving cortical borders.

Design outcomes

Primary

MeasureTime frame
detection of osteoporosis which can reduce the human laborTimepoint: base line—

Secondary

MeasureTime frame
detection of osteophytic and osteolytic changes in temporal mandibular joint , ankylosis of temporomandibular jointTimepoint: base line—

Countries

India

Contacts

Public ContactPoka Lakshmi Bhargavi

Sibar institute of dental sciences

dra.samatha@gmail.com9391307194

Outcome results

None listed

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