Ontology highlight
ABSTRACT: Background
There is a need to increase health care professional training capacity to meet global needs by 2030. Effective communication is essential for delivering safe and effective patient care. Artificial intelligence (AI) technologies may provide a solution. However, evidence for high-fidelity virtual patient simulators using unrestricted 2-way verbal conversation for communication skills training is lacking.Objective
This study aims to compare a fully automated AI-driven voice recognition-based virtual patient simulator with traditional actor-based consultation skills simulated training in undergraduate medical students for differences in developing self-rated communication skills, student satisfaction scores, and direct cost comparison.Methods
Using an open-la
SUBMITTER: Tyrrell EG
PROVIDER: S-EPMC12634008 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature