# Diagnostic Accuracy of Educated Large Language Models in Endodontic Diagnosis and Case Difficulty Assessment

> **NCT07706894** · — · NOT_YET_RECRUITING · sponsor: **Cairo University** · enrollment: 349 (estimated)

## Conditions studied

- Pulpal and Periapical Diseases

## Interventions

- **DIAGNOSTIC_TEST:** ChatGPT, Gemini, Calude

## Key facts

- **NCT ID:** NCT07706894
- **Lead sponsor:** Cairo University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-07
- **Primary completion:** 2026-12
- **Final completion:** 2027-06
- **Target enrollment:** 349 (ESTIMATED)
- **Last updated:** 2026-07-16


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07706894

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07706894, "Diagnostic Accuracy of Educated Large Language Models in Endodontic Diagnosis and Case Difficulty Assessment". Retrieved via MORVS 2026-10-20 from https://api.morvs.ai/clinical/NCT07706894. Licensed CC0.

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