# Artificial Intelligence-Based Assessment of Endosseous Lesions

> **NCT07505485** · NA · RECRUITING · sponsor: **University of Bari Aldo Moro** · enrollment: 10 (estimated)

## Conditions studied

- Maxillary Cyst
- Mandibular Cyst

## Interventions

- **DIAGNOSTIC_TEST:** AI assisted Evaluation

## Key facts

- **NCT ID:** NCT07505485
- **Lead sponsor:** University of Bari Aldo Moro
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** RECRUITING
- **Start date:** 2026-04-01
- **Primary completion:** 2026-05-01
- **Final completion:** 2026-05-01
- **Target enrollment:** 10 (ESTIMATED)
- **Last updated:** 2026-04-15


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07505485

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07505485, "Artificial Intelligence-Based Assessment of Endosseous Lesions". Retrieved via AI Analytics 2026-05-28 from https://api.ai-analytics.org/clinical/NCT07505485. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*