Using a Virtual Patient via an Artificial Intelligence Chatbot to Develop Dental Students' Diagnostic Skills
Autor: | Ana Suárez, Alberto Adanero, Víctor Díaz-Flores García, Yolanda Freire, Juan Algar |
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Rok vydání: | 2022 |
Předmět: |
Estudiantes de odontología
Health Toxicology and Mutagenesis Public Health Environmental and Occupational Health Students Dental Odontología artificial intelligent chatbot virtual patient diagnosis dental students Método de aprendizaje Inteligencia artificial Cross-Sectional Studies Artificial Intelligence Humans Enseñanza superior Curriculum Software |
Zdroj: | International Journal of Environmental Research and Public Health; Volume 19; Issue 14; Pages: 8735 ABACUS. Repositorio de Producción Científica Universidad Europea (UEM) |
ISSN: | 1660-4601 |
Popis: | 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. Sin financiación 4.614 JCR (2021) Q1, 45/182 Public, Environmental & Occupational Health 0.814 SJR (2021) Q1, 34/136 Health, Toxicology and Mutagenesis No data IDR 2021 UEM |
Databáze: | OpenAIRE |
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