Comparative Evaluation of Large Language Models in Oral Diseases Diagnosis

Comparative Evaluation of Large Language Models in Oral Diseases Diagnosis Using Multimodal Data

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Interventional

Source

TCTR

Registry ID

TCTR20260205006

Enrollment

120

Registered

2026-02-05

Start date

2026-02-01

Completion date

Unknown

Last updated

2026-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Evaluate the performance of large language models in oral diseases diagnosis. Large Language Model Artificial Intelligence Oral Diagnosis

Interventions

The subject will complete the test with the aids of designated LLM.,The subject will complete the test without the aids of LLM.

Experimental Other,No Intervention Other

With LLM,Without LLM

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. 4th year undergraduate students who has completed the oral pathology course

Exclusion criteria

Exclusion criteria: 1. Student to has not complete the oral pathology crouse

Design outcomes

Primary

Measure	Time frame
Accuracy At the end of intervention Percentage of correct answer	—

Secondary

Measure	Time frame
Performance At the end of intervention Compare the test scores between group,Method in using LLM At the end of the trial Questionnaire	—

Countries

Thailand

Contacts

Public ContactPromphakkon Kulthanaamondhita

College of Dental Medicine, Rangsit University

promphakkon.k@rsu.ac.th029972200

Outcome results

None listed

Source: TCTR (via WHO ICTRP) · Data processed: Aug 10, 2026