Back to search

Article

Comparative Performance of Large Language Model-Based Chatbots, Dental Students, and Postgraduate Specialty Students in Text-Based Oral and Maxillofacial Radiology Questions

2026-06-19

Abstract excerpt

<title>Abstract</title> <p>Background Large language models (LLMs) are increasingly integrated into medical and dental education because of their ability to generate rapid, human-like responses. However, their diagnostic accuracy in specialized domains, such as oral and maxillofacial radiology, remains unclear. This study aimed to compare the performance of LLM-based chatbots with that of undergraduate dental st...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
325b9baa-6d68-5f7c-8588-df94787c2644
DOI
10.21203/rs.3.rs-9450131/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Comparative Performance of Large Language Model-Based Chatbots, Dental Students, and Postgraduate Specialty Students in Text-Based Oral and Maxillofacial Radiology QuestionsDOI 10.21203/rs.3.rs-9450131/v1
Select a neighboring publication to make it the new centre.