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Explainability for artificial intelligence in healthcare: a multidisciplinary perspective.

Julia AmannAlessandro BlasimmeEffy VayenaDietmar FreyVince I Madainull null
Published in: BMC medical informatics and decision making (2020)
To ensure that medical AI lives up to its promises, there is a need to sensitize developers, healthcare professionals, and legislators to the challenges and limitations of opaque algorithms in medical AI and to foster multidisciplinary collaboration moving forward.
Keyphrases
  • artificial intelligence
  • healthcare
  • machine learning
  • deep learning
  • big data
  • quality improvement
  • social media