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Clinical Trials/NCT07706894
NCT07706894Not yet recruitingNot Applicable

Accuracy of Educated Large Language Models Compared With Endodontic Experts in the Diagnosis and Difficulty Assessment of Endodontic Cases: A Diagnostic Test Accuracy Study

Cairo University0 sites349 target enrollmentStarted: July 1, 2026Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Not yet recruiting
Enrollment
349
Primary Endpoint
Endodontic diagnosis according to AAE

Study Overview

Brief Summary

This diagnostic test accuracy (DTA) study aims to evaluate the diagnostic performance of educated large language models (Educated ChatGPT (GPT-5.5 Pro), Educated Gemini 3.1 Pro, and Educated Claude Opus 4.7) in endodontic practice. Their ability to establish pulpal and periapical diagnoses and assess endodontic case difficulty will be compared with the reference standard established by a panel of endodontic experts. Clinical and radiographic information from patients presenting for primary endodontic treatment or nonsurgical endodontic retreatment will be provided to both the AI models and the expert panel. The primary outcomes are the sensitivity, specificity, and the overall accuracy of the educated LLMs, with the objective of determining their potential role as reliable decision-support tools in endodontic diagnosis and treatment planning.

Study Design

Study Type
Observational
Observational Model
Other
Time Perspective
Prospective

Eligibility Criteria

Ages
16 Years to — (Child, Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Age above 16 years old.
  • Requiring primary endodontic treatment or retreatment.
  • Availability of complete clinical examination records.
  • Availability of diagnostic radiographs.
  • Restorable teeth.
  • Patient's acceptance to participate in the study.

Exclusion Criteria

  • Incomplete records
  • Pregnant women.
  • No restorability: Hopeless tooth.
  • Traumatic dental injuries
  • Periapical radiographic images of sub-optimal quality or artifacts/high scatter interfering with proper assessment.

Outcomes

Primary Outcomes

Endodontic diagnosis according to AAE

Time Frame: baseline

Pulpal and periapical diagnosis

Secondary Outcomes

  • Difficulty assessment according to AAE(baseline)

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Radwa Mohamed Saleh Elaguizy

Assistant lecturer

Cairo University

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