Status:

RECRUITING

Artificial Intelligence-Based Assessment of Endosseous Lesions

Lead Sponsor:

University of Bari Aldo Moro

Conditions:

Maxillary Cyst

Mandibular Cyst

Eligibility:

All Genders

18-80 years

Phase:

NA

Brief Summary

Despite these advances, CBCT interpretation remains largely qualitative and dependent on the clinician's experience. Conventional evaluation is based on two-dimensional slices and linear measurements,...

Eligibility Criteria

Inclusion Criteria:

  • Good health according to the System of the American Society of Anesthesiology
  • Aged older than 18 years
  • No general medical contraindication for surgery

Exclusion Criteria:

  • Smoking more than 15 cigarettes a day

    • Pregnancy
    • Acute infections

Key Trial Info

Start Date :

April 1 2026

Trial Type :

INTERVENTIONAL

Allocation :

ESTIMATED

End Date :

May 1 2026

Estimated Enrollment :

10 Patients enrolled

Trial Details

Trial ID

NCT07505485

Start Date

April 1 2026

End Date

May 1 2026

Last Update

April 15 2026

Active Locations (2)

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Page 1 of 1 (2 locations)

1

University of Bari Aldo Moro

Bari, Italy, 70021

2

Dr. Giuseppe D'Albis

Bari, Italy, 70124

Artificial Intelligence-Based Assessment of Endosseous Lesions | DecenTrialz