ArticleJournal of dental education2026
Enhancing Dental Students' History-Taking Skills With a Generative Artificial Intelligence Chatbot.
Article in Journal of dental education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes.BMC medical education · 2026Pooled it
- Enhancing patient interview and clinical examination training: the impact of the Simroid dental training robot.BMC medical education · 2026Article
- Enhancing Dental Students' History-Taking Skills With a Generative Artificial Intelligence Chatbot.Journal of dental education · 2026Article
- Exploring artificial intelligence chatbots in pediatric fluoride education: a cross-sectional study.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
purposeAccurate history-taking is crucial for diagnosis and treatment planning in dentistry yet there is insufficient time in pre-clinical years to practice this essential skill. This study evaluated dental student motivations and enjoyment using a generative artificial intelligence (AI) chatbot to practice these skills.
methodsIn 2024, first- and second-year Doctor of Dental Medicine students trialed a virtual patient (VP) chatbot using generative AI based on GPT-4 and then completed surveys to assess expectations, motivations, and feedback on the chatbot and compare their experience with in-person learning.
resultsA total of 31 students participated in the trial. The cohort saw a significant improvement in perceived competence after using the chatbot. Second-year students found more value in the chatbot than first-year students. While the students felt the chatbot increased their participation and provided more practice opportunities, most found it less interesting compared to in-person teaching. Overall, students were supportive of the integration of the chatbot into the curriculum.
conclusionEducational chatbots can act as VPs, allowing users to practice patient history-taking. This chatbot was seen as a beneficial, supplementary resource for pre-clinical dental students, allowing them to supplement the currently limited opportunities to practice this skill.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.