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Teaching the Future: Integrating AI into Health Professions Education

International webinar series on the topic of AI in health professions education

Teaching the future

How does AI knowledge transfer succeed in healthcare professions? How can AI literacy among healthcare professionals be increased? What could possible AI skills training courses look like in the future? These and similar questions will be addressed in the online event series from 26 November 2025 to 28 January 2026.

This series aims to explore the transformative role of artificial intelligence in health professions education, highlighting innovative teaching strategies, ethical considerations, and practical applications across various healthcare disciplines. Our goal is to foster dialogue and share insights among educators, practitioners, and researchers who are shaping the future of healthcare through AI.

There will be a total of 4 online sessions in which international experts will share their knowledge about AI and its role in health professions education.

Each Online-session will run for 90 minutes and features two speakers, followed by a moderated discussion and audience Q&A. The webinar series is designed for medical, therapeutic, and diagnostic healthcare professionals – including those in nursing, midwifery, and medicine – as well as students and active practitioners interested in the intersection of AI and health education.

Dates in detail:

  • 26. November 2025, 18:00-19:30: Webinar 1
  • 10. December 2025, 18:00-19:30 Uhr: Webinar 2
  • 14. January 2026, 18:00-19:30: Webinar 3
  • 28. January 2026, 18:00-19:30: Webinar 4

Scientific Board:

  • Gernot Reishofer (MED UNI Graz)
  • Helmut Ritschl (FH JOANNEUM University of Applied Sciences Graz)
  • Bianca Buchgraber-Schnalzer (FH JOANNEUM University of Applied Sciences Graz)
  • Marco Tilli (FH JOANNEUM University of Applied Sciences Graz)
  • Michael Jantscher (Know Center Graz)
  • Anton Quinsten (Universitätsmedizin Essen)
  • John Downey (Centre for Health Technology| School of Nursing and Midwifery| Faculty of Health, Plymouth)
  • Qing Li (Towson University, York)
  • Joaquim Armando Pires Jorge (UNESCO Chair on Artificial Intelligence and Extended Reality, Universidade de Lisboa)
  • Karin Wolf-Ostermann (Universität Bremen)

note

A joint series of events organized by University of Applied Sciences in Graz, Medical University of Graz, chax.at, x-tention Informationstechnologie GmbH and Know Center Research GmbH, carried out as part of the FFG-funded AID-CC project.

Photo: Canva, Dreamlab

Teaching the future: Integrating AI into Health Professions Education

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