Influence of AI-based diagnostic software on the detection of periapical radiolucencies in panoramic images: a randomized, controlled, non-blinded, cross-over superiority study

Status

Active, not recruiting

Phases

Phase 4

Study type

Interventional

Source

DRKS

Registry ID

DRKS00034916

Enrollment

Registered

2024-09-05

Start date

2024-11-01

Completion date

Unknown

Last updated

2025-10-06

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

Conditions

K04.5

Interventions

Group 1: Artificial intelligence supported diagnostic. Participating 30 dentists will evaluate a random half of the panoramic radiographs with the assistance of an AI-based diagnostic tool (dentalXra

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Actively practicing dentists, experience in radiological diagnostics

Exclusion criteria

Exclusion criteria: Lack of active practice, lack of experience in radiological diagnostics, Orthodontists and oral surgeons

Design outcomes

Primary

Measure	Time frame
Diagnostic accuracy (Area under the ROC Curve, AUC)	—

Secondary

Measure	Time frame
F1-Score, Sensitivity, Specificity, PPV, and NPV, Usability and acceptance of the AI software by dentists, Impact on the decision for further treatment	—

Countries

Germany

Outcome results

None listed

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