Related Experiment Video
Updated: Oct 14, 2026
Examination of Oral Candida Infection in Primary Sjögren's Syndrome Patients
Published on: March 1, 2024
Proficiency of artificial intelligence in addressing patient frequently asked questions on oral lichen planus
Ruijie Zhang1, Li Mei1, Melody Liu1
1Department of Oral Sciences, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
Objectives:
To investigate the proficiency of artificial intelligence (ChatGPT-4 and DeepSeek-v3) in responding to frequently asked questions (FAQs) related to oral lichen planus (OLP).
Study Design:
Twenty-three OLP-related FAQs were adapted from known sources. Responses generated by ChatGPT-4 and DeepSeek-v3 were assessed by expert panels across 5 domains: accuracy, comprehensibility, logic, fairness, and simplicity.
Results:
DeepSeek-v3 outperformed ChatGPT-4 in comprehensiveness (4.65 ± 0.37 vs 4.04 ± 0.54; P < .001), logic (4.41 ± 0.32 vs 4.03 ± 0.35; P < .001), and fairness (4.34 ± 0.33 vs 4.03 ± 0.27; P < .001). ChatGPT-4 scored higher in simplicity (4.25 ± 0.31 vs 4.04 ± 0.28; P = .034), while DeepSeek-v3 had a modest advantage in accuracy (4.49 ± 0.38 vs 4.22 ± 0.34; P = .025). DeepSeek-v3 performed better in comprehensiveness and logic for "Causes" and "Symptoms," and in accuracy for "Risk & Complications." ChatGPT-4's simplicity was most evident in "Causes" and "Symptoms." In "Treatment & Management," DeepSeek-v3 excelled in logic and comprehensiveness, while ChatGPT-4 showed greater simplicity and occasional accuracy.
Conclusion:
ChatGPT-4 provides concise, accessible information, whereas DeepSeek-v3 offers broader, more detailed responses. Combining both models may improve patient understanding of OLP.
