# Evaluation of Diagnostic Accuracy of Artificial Intelligence in Treatment Planning for Non-growing Class II Cases

> **NCT06792747** · — · UNKNOWN · sponsor: **Cairo University** · enrollment: 193 (estimated)

## Conditions studied

- Class II Malocclusion

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06792747
- **Lead sponsor:** Cairo University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** UNKNOWN
- **Start date:** 2025-01
- **Primary completion:** 2025-06
- **Final completion:** 2025-12
- **Target enrollment:** 193 (ESTIMATED)
- **Last updated:** 2025-01-27


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06792747

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06792747, "Evaluation of Diagnostic Accuracy of Artificial Intelligence in Treatment Planning for Non-growing Class II Cases". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT06792747. Licensed CC0.

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