Immersive training of clinical decision making with AI driven virtual patients - a new VR platform called medical tr.AI.ning.

Journal: GMS journal for medical education
Published Date:

Abstract

BACKGROUND: Medical students need to be prepared for various situations in clinical decision-making that cannot be systematically trained with real patients without risking their health or integrity. To target system-related limitations of actor-based training, digital learning methods are increasingly used in medical education, with virtual reality (VR)- training seeming to have high potential. Virtually generated training scenarios allow repetitive training of highly relevant clinical skills within a protected, realistic learning environment. Thanks to Artificial Intelligence (AI), face-to-face interaction with virtual agents is feasible. Combining this technology with VR-simulations offers a new way of situated context-based, first-person training for medical students.

Authors

  • Marvin Mergen
    Saarland University, Department of Pediatric Oncology and Hematology, Homburg, Germany.
  • Anna Junga
    University of Münster, Institute of Education and Student Affairs, Münster, Germany.
  • Benjamin Risse
    Faculty of Mathematics and Computer Science, University of Münster, Münster, Germany.
  • Dimitar Valkov
    Saarland University, Department of Computer Science, Homburg, Germany.
  • Norbert Graf
    Paediatric Haematology and Oncology, Saarland University Hospital, Homburg, Germany.
  • Bernhard Marschall
    University of Münster, Institute of Education and Student Affairs, Münster, Germany.