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[Artificial intelligence for pathology-how, where, and why?]

Peter J SchüfflerKatja SteigerCarolin Mogler
Published in: Pathologie (Heidelberg, Germany) (2024)
Artificial intelligence promises many innovations and simplifications in pathology, but also raises just as many questions and uncertainties. In this article, we provide a brief overview of the current status, the goals already achieved by existing algorithms, and the remaining challenges.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • current status
  • big data