AI-enabled language technologies for language-mediated learning and clinical communication in international undergraduate dental education: a scoping review - Report - DentalSpire
Clinical Report: AI Language Technologies in Global Undergraduate Dental Education
Overview
This scoping review identifies the potential applications of AI-enabled language technologies in enhancing learning and clinical communication among international dental students. The evidence supporting their effectiveness is limited, primarily derived from related populations.
Background
Effective communication is crucial in dentistry, particularly for students who must master complex terminology while engaging with patients in high-stakes environments. The increasing diversity of student populations in dental education necessitates innovative solutions to address language barriers, particularly for those with limited English proficiency.
Data Highlights
The review included 36 non-policy sources and four policy documents, highlighting applications such as terminology translation, multilingual tutoring, and communication rehearsal.
Key Findings
AI-enabled language technologies can assist with terminology translation and communication rehearsal.
Only one source addressed the intersection of dental undergraduates, international learners, and AI technologies.
Applications of these technologies include reflective-writing support and multilingual tutoring.
Evidence on the effectiveness of these technologies in clinical settings is limited and primarily derived from related populations.
Implementation requires validated resources and educator supervision to ensure patient safety.
Clinical Implications
The integration of AI-enabled language technologies in dental education requires careful consideration of local resources and ethical guidelines for effective implementation.
Conclusion
AI-enabled language technologies hold potential for improving communication in dental education, but the current evidence base is limited.
