Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school - Summary - DentalSpire
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Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school
To investigate the utilization of LLM-based AI applications among dental faculty, residents, and dental and dental hygiene students at UTHealth School of Dentistry, and analyze differences in attitudes toward these applications.
Key Findings:
66% of faculty and 73% of students reported using LLM-based AI tools, primarily for writing and educational tasks.
Students perceived LLM-based AI tools as more beneficial than faculty (p < 0.01).
Faculty expressed a stronger demand for AI training compared to students (p < 0.05).
Males were more supportive of AI in research tasks (p < 0.05).
Students rated ChatGPT more favorably across all categories.
Interpretation:
Limitations:
The response rate was 28.1%, which may limit the generalizability of the findings.
The survey was conducted at a single institution, potentially affecting the diversity of perspectives.
Study found species-specific differences in biofilm -forming capacity and antimicrobial susceptibility among supragingival bacterial isolates from patients with active dental caries.
