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AI Diagnosis of Dental Infections and Conditions on X-ray Images

Deep Learning - Diagnosis of Periapical Abscess, Periapical Granuloma, Periapical Cyst and Condensing Osteitis on Orthopantamogram - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/03/083707
Enrollment
4000
Registered
2025-03-28
Start date
Unknown
Completion date
Unknown
Last updated
2025-04-07

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

Conditions

Health Condition 1: K049- Other and unspecified diseases ofpulp and periapical tissues

Interventions

Intervention1: NIL: As it is observational study, there is no intervention agent

Sponsors

VEERLA BHAVYA SRI
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Panoramic radiographs should reveal atleast one area of periapical pathology.

Exclusion criteria

Exclusion criteria: Panoramic radiographs with the presence of artifacts.

Design outcomes

Primary

MeasureTime frame
To evaluate the accuracy of Artificial Intelligence in detecting Periapical Abscess Periapical Granuloma Periapical Cyst and Condensing Osteitis on panoramic radiographs. Timepoint: 1year 6months—

Secondary

MeasureTime frame
To assess the accuracy of Artificial Intelligence in detecting Periapical Abscess Periapical Granuloma Periapical Cyst and Condensing Osteitis on panoramic radiographs, based on the size of the lesion. Timepoint: 1year 6months—

Countries

India

Contacts

Public ContactDr Y SAMATA

Sibar Institute of Dental Sciences

drsamthaoralmed@sids.ac.in9391307194

Outcome results

None listed

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