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ABSTRACT: Background
Developing diagnostic reasoning in nephrology is particularly challenging due to its pathophysiological complexity and reliance on abstract clinical data. Objective Structured Clinical Examinations (OSCEs) are pivotal for nephrology training but remain resource-intensive and difficult to scale. Generative artificial intelligence (AI) offers a promising alternative, yet its capacity to emulate nephrology-specific OSCEs has not been formally assessed.Methods
We developed ECOSBot, a web-based tool powered by GPT-4o, to simulate both standardized patients and examiners for nephrology-focused OSCEs. In this multicenter prospective study, undergraduate medical students from five French medical schools interacted with ECOSBot across four clinical stations. All interacti
SUBMITTER: Bentegeac R
PROVIDER: S-EPMC12541372 | biostudies-literature | 2025 Oct
REPOSITORIES: biostudies-literature