U.S., Dec. 16 -- ClinicalTrials.gov registry received information related to the study (NCT07281066) titled 'LLM Performance in Endodontic Diagnostics' on Nov. 24.
Brief Summary: The goal of this prospective observational study is to evaluate the ability of three large language models (ChatGPT-4o, Gemini Advanced, and Claude 3.7) to support diagnosis and treatment decision-making in adult patients presenting with common endodontic conditions.
The main questions the study aims to answer are:
Can LLMs accurately determine the endodontic diagnosis when provided with structured clinical information and periapical radiographs?
Can LLMs propose appropriate treatment plans comparable to decisions made by endodontic specialists?
To answer thes...