OpenAlex · Aktualisierung stündlich · Letzte Aktualisierung: 11.03.2026, 23:16

Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.

Using AI to Train Future Clinicians in Depression Assessment: Feasibility Study

2025·0 Zitationen·JMIR Medical EducationOpen Access
Volltext beim Verlag öffnen

0

Zitationen

9

Autoren

2025

Jahr

Abstract

This study demonstrates that a GPT-powered chatbot can simulate patients with depression fairly accurately. More than two-thirds of participants perceived the AI-simulated patients with depression as authentic, and nearly 80% (106/135) indicated they would like to use the application for further practice, highlighting its potential as a training tool. While a small proportion of students expressed reservations, and the overall diagnostic accuracy varied depending on the severity of the case, the findings overall support the feasibility and educational value of AI-based role-playing in clinical training. AI-supported virtual patients provide a highly flexible, standardized, and readily available training tool, independent of real-life constraints.

Ähnliche Arbeiten