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ABSTRACT: Background
Generative artificial intelligence (AI) is increasingly used in medical education, including AI-based virtual patients to improve interview skills. However, how much AI-based assessment (ABA) differs from human-based assessment (HBA) remains unclear.Objective
This study aimed to compare the quality of clinical interview assessments generated via an ABA (GPT-o1 Pro [ABA-o1] and GPT-5 Pro [ABA-5]) with those generated via an HBA conducted by clinical instructors in an AI-based virtual patient setting. We also examined whether AI reduced evaluation time and assessed agreement across participants with different levels of clinical experience.Methods
A standardized case of leg weakness was implemented in an AI-based virtual patient. Seven participants (2 medica
SUBMITTER: Takahashi H
PROVIDER: S-EPMC12912650 | biostudies-literature | 2026 Feb
REPOSITORIES: biostudies-literature