Evaluating artificial intelligence large language models in dental education: a cross-sectional survey on usage, perceptions, and integration at a U.S. dental school - Scorecard - 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
Clinical Scorecard: Assessing the Role of Large Language Models in Dental Education: A Cross-Sectional Survey of Usage, Attitudes, and Integration at a U.S. Dental Institution
At a Glance
Category
Detail
Condition
Key Mechanisms
Utilization of AI tools for writing and educational tasks, as reported in the study.
Target Population
Care Setting
Key Highlights
66% of faculty and 73% of students reported using LLM-based AI tools for writing and educational tasks.
Students perceived LLM-based AI tools as beneficial compared to faculty.
Significant gender differences in support for AI in research tasks were noted.
Faculty expressed a need for AI training.
User experience ratings favored ChatGPT among students.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Concerns regarding ethical considerations and risk of overreliance on AI tools, as noted in the study.
Patient & Prescribing Data
Not applicable; focus on educational context.
Limited focus on clinical applications of LLM-based AI tools.
