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DIALOGUE: A Generative AI-Based Pre–Post Simulation Study to Enhance Diagnostic Communication in Medical Students Through Virtual Type 2 Diabetes Scenarios
6
Zitationen
18
Autoren
2025
Jahr
Abstract
= 0.016) independently predicted greater improvement; gender had only a marginal effect. Cluster analysis revealed three learner profiles, with the highest-gain group characterized by low empathy and high digital self-efficacy. Inter-rater reliability was excellent (ICC ≈ 0.90). These findings provide empirical evidence that GenAI-mediated training can meaningfully enhance diagnostic communication and may serve as a scalable, individualized adjunct to conventional medical education.
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Autoren
- Ricardo Xopan Suárez-García
- Quetzal Chavez-Castañeda
- Rodrigo Orrico-Pérez
- Sebastián Valencia-Marín
- Ari Evelyn Castañeda-Ramírez
- Efrén Quiñones-Lara
- Claudio Adrián Ramos-Cortés
- Areli Marlene Gaytán-Gómez
- Jonathan Cortés-Rodríguez
- Jazel Jarquín-Ramírez
- Nallely Guadalupe Aguilar-Marchand
- Graciela Valdés-Hernández
- Tomás Eduardo Campos-Martínez
- Alonso Vilches‐Flores
- Sonia León‐Cabrera
- Adolfo René Méndez‐Cruz
- Brenda Ofelia Jay-Jímenez
- Héctor Iván Saldívar-Cerón