Article ; Online: Using a Virtual Patient via an Artificial Intelligence Chatbot to Develop Dental Students' Diagnostic Skills.
International journal of environmental research and public health
2022 Volume 19, Issue 14
Abstract: Knowing how to diagnose effectively and efficiently is a fundamental skill that a good dental professional should acquire. If students perform a greater number of clinical cases, they will improve their performance with patients. In this sense, virtual ... ...
Abstract | Knowing how to diagnose effectively and efficiently is a fundamental skill that a good dental professional should acquire. If students perform a greater number of clinical cases, they will improve their performance with patients. In this sense, virtual patients with artificial intelligence offer a controlled, stimulating, and safe environment for students. To assess student satisfaction after interaction with an artificially intelligent chatbot that recreates a virtual patient, a descriptive cross-sectional study was carried out in which a virtual patient was created with artificial intelligence in the form of a chatbot and presented to fourth and fifth year dental students. After several weeks interacting with the AI, they were given a survey to find out their assessment. A total of 193 students participated. A large majority of the students were satisfied with the interaction (mean 4.36), the fifth year students rated the interaction better and showed higher satisfaction values. The students who reached a correct diagnosis rated this technology more positively. Our research suggests that the incorporation of this technology in dental curricula would be positively valued by students and would also ensure their training and adaptation to new technological developments. |
---|---|
MeSH term(s) | Artificial Intelligence ; Cross-Sectional Studies ; Curriculum ; Humans ; Software ; Students, Dental |
Language | English |
Publishing date | 2022-07-18 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2175195-X |
ISSN | 1660-4601 ; 1661-7827 |
ISSN (online) | 1660-4601 |
ISSN | 1661-7827 |
DOI | 10.3390/ijerph19148735 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
More links
Kategorien
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.