Literature DB >> 35403871

[Artificial intelligence: a solution for the lack of pathologists?]

Philipp Jurmeister1,2, Klaus-Robert Müller3,4, Frederick Klauschen5,6,7,8.   

Abstract

Given the rapid developments, there is no doubt that artificial intelligence (AI) will substantially impact pathological diagnostics. However, it remains an open question if AI will primarily be another diagnostic tool, such as immunohistochemistry, or if AI will also be able to replace human expertise. Most current studies on AI in histopathology deal with relatively simple diagnostic problems and are not yet capable of coping with the complexity of routine diagnostics. While some methods in molecular pathology would already be unthinkable without AI, it remains to be shown how AI will also be able to help with difficult histomorphological differential diagnoses in the future.
© 2022. The Author(s), under exclusive licence to Springer Medizin Verlag GmbH, ein Teil von Springer Nature.

Entities:  

Keywords:  Artificial intelligence; Digital pathology; Immunohistochemistry; Machine Learning; Molecular pathology

Mesh:

Year:  2022        PMID: 35403871     DOI: 10.1007/s00292-022-01071-7

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  1 in total

Review 1.  Trailblazing precision medicine in Europe: A joint view by Genomic Medicine Sweden and the Centers for Personalized Medicine, ZPM, in Germany.

Authors:  Albrecht Stenzinger; Anders Edsjö; Carolin Ploeger; Mikaela Friedman; Stefan Fröhling; Valtteri Wirta; Thomas Seufferlein; Johan Botling; Justus Duyster; Michael Akhras; Robert Thimme; Thoas Fioretos; Michael Bitzer; Lucia Cavelier; Peter Schirmacher; Nisar Malek; Richard Rosenquist
Journal:  Semin Cancer Biol       Date:  2021-05-24       Impact factor: 17.012

  1 in total

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