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Natural language processing in dermatology: A systematic literature review and state of the art.

Alessia PaganelliMarco SpadaforaCristian Navarrete-DechentStefania GuidaGiovanni PellacaniCaterina Longo
Published in: Journal of the European Academy of Dermatology and Venereology : JEADV (2024)
While NLP shows promise in enhancing dermatological research and clinical practice, challenges such as data quality, ambiguity, lack of standardization and privacy concerns necessitate careful consideration. Collaborative efforts between dermatologists, data scientists and ethicists are essential for addressing these challenges and maximizing the potential of NLP in dermatology.
Keyphrases
  • big data
  • quality improvement
  • clinical practice
  • electronic health record
  • artificial intelligence
  • machine learning
  • autism spectrum disorder
  • data analysis