AI-Driven Avatars in Medical Training

Personalized Feedback for Enhanced Learning

Authors

  • Fernando Salvetti e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA) https://orcid.org/0009-0009-5197-305X
  • Barbara Bertagni e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA)
  • Ianna Contardo e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA)
  • Roxane Gardner Harvard Center for Medical Simulation, Boston, MA, USA
  • Jenny Rudolph Harvard Center for Medical Simulation, Boston, MA, USA
  • Rebecca Minehart Harvard Center for Medical Simulation, Boston, MA, USA

DOI:

https://doi.org/10.3991/ijac.v18i3.52595

Keywords:

2CG® Poetry Machine, 21st Century Skills, Communities of Practice, Social Learning, Hyper Structure for Learning, Idea Generation, Education, Professional Development, Qualitative Data Analysis, Iterative Process

Abstract


e-REAL Labs is at the forefront of educational technology, pioneering the use of intelligent avatars—also known as digital humans or embodied conversational agents (ECAs)—to enhance medical training. These sophisticated AI-driven avatars replicate complex human interactions, providing real-time, personalized feedback based on behavioral and conversational cues. This article presents an applied research project developed in collaboration with the Center for Medical Simulation in Boston, showcasing an innovative approach that goes beyond traditional feedback mechanisms. By enabling reflective dialogue and interactive learning, these digital humans foster deeper understanding and skill development. As dynamic learning partners, ECAs represent a transformative shift in medical education, offering an immersive and effective method for professional training. This AI-powered approach redefines the role of feedback in healthcare education, setting a new standard for simulation-based learning and professional development.

Author Biography

Fernando Salvetti, e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA)

Founder and Managing Partner, e-REAL Labs at Logosnet (Turin, Italy; Lugano, Switzerland; Houston and New York, USA)

Cover iJAC, Vol. 18, No. 3, 2025

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Published

2025-05-07

How to Cite

Salvetti, F., Bertagni, B., Contardo, I., Gardner, R., Rudolph, J., & Minehart, R. (2025). AI-Driven Avatars in Medical Training: Personalized Feedback for Enhanced Learning. International Journal of Advanced Corporate Learning (iJAC), 18(3), pp. 46–59. https://doi.org/10.3991/ijac.v18i3.52595

Issue

Vol. 18 No. 3 (2025)

Section

TLIC Papers

License

Copyright (c) 2025 Fernando Salvetti, Barbara Bertagni, Ianna Contardo, Roxane Gardner, Jenny Rudolph, Rebecca Minehart

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.