Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models
NCT: NCT07732985 · NOT_YET_RECRUITING
Brief Summary
This prospective, blinded diagnostic accuracy study aims to compare the performance of three large language models-ChatGPT (GPT-5.5 Pro), Gemini 3.1 Pro, and Claude Opus 4.7-in endodontic diagnosis and case difficulty assessment. The models will be evaluated against expert consensus as the reference standard using standardized clinical data and periapical radiographs. Diagnostic accuracy, sensitivity, specificity, and agreement with expert consensus will be assessed to determine the potential of LLMs as clinical decision-support tools in endodontics.
Frequently Asked Questions
What is Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models?
Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models is a clinical trial registered under NCT07732985. Current status: NOT_YET_RECRUITING.
What is the status of NCT07732985?
The current status of NCT07732985 (Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models) is: NOT_YET_RECRUITING.
When did Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models start?
Comparative Analysis of Diagnostic Accuracy and Case Difficulty Assessment of Three Large Language Models started on 2026-09-01.
Official Source
View on ClinicalTrials.gov →Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.