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Using artificial intelligence to create diverse and inclusive medical case vignettes for education.

Michiel J BakkumMariëlle G HartjesJoost D PiëtErik M DonkerRobert LikićEmílio J SanzFabrizio de PontiPetra VerdonkMilan C RichirMichiel A van AgtmaelJelle Tichelaar
Published in: British journal of clinical pharmacology (2023)
Our approach significantly accelerated case creation and improved diversity, though prioritizing maximum diversity compromised representativeness to some extent. While the optimized prompts are easily reusable, the process itself demands computer skills not all educators possess. To address this, we aim to share all created patients as Open Educational Resources (OER), empowering educators to create cases independently.
Keyphrases
  • artificial intelligence
  • deep learning
  • end stage renal disease
  • healthcare
  • machine learning
  • big data
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • minimally invasive
  • quality improvement