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Artificial intelligence: Training the trainer.

Lars Kaestner
Published in: British journal of haematology (2022)
Including artificial intelligence in haematological education is compulsory but should not be limited to students. Experienced haematologist and decision-makers in the clinical environment have at least similar needs. This is because of the tremendous potential, opportunities and benefits the timely inclusion of artificial intelligence offers in diagnosis, prediction and personalised therapy. Commentary on: Chai et al. Integrating artificial intelligence into haematology training and practice: opportunities, threats and proposed solutions. Br J Hematol 2022;198:807-811.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • healthcare
  • primary care
  • virtual reality
  • human health
  • climate change
  • decision making
  • smoking cessation
  • high school
  • replacement therapy