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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Artificial Intelligence in Pathology.

Sebastian Försch1, Frederick Klauschen, Peter Hufnagl

  • 1Institute of Pathology, University Medical Center Mainz, Mainz; Institute of Pathology, Charité Universitätsmedizin Berlin, Berlin.

Deutsches Arzteblatt International
|May 24, 2021
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) in pathology aids diagnosis and prognostication, showing promise in early studies. Further randomized trials are needed to confirm the benefits of AI-assisted pathology for improved accuracy and efficiency.

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Area of Science:

  • Digital pathology
  • Artificial intelligence in medicine
  • Machine learning applications

Background:

  • Digitalization is increasing the use of AI and machine learning in pathology.
  • AI technologies in pathology are in early implementation stages with limited prospective trials.
  • This review explores current AI concepts, examples, and limitations in pathology.

Purpose of the Study:

  • To review current concepts of artificial intelligence in pathology.
  • To illustrate AI applications with examples from representative publications.
  • To discuss the possibilities and limitations of AI in pathology.

Main Methods:

  • Literature search of PubMed (1950-2020) using terms: "artificial intelligence," "deep learning," and "digital pathology."
  • Inclusion of authors' own research findings.

Main Results:

  • AI in pathology supports routine diagnosis and cancer prognostication.
  • AI may enhance diagnostic speed and accuracy; a pilot study showed improved micrometastasis detection sensitivity (83.3% to 91.2%).
  • AI analysis of histomorphology may infer genetic properties like gene mutations and DNA methylation profiles.

Conclusions:

  • Proof-of-concept studies for AI in pathology are emerging.
  • Randomized, prospective studies are essential to validate initial findings.
  • Further research is required to confirm or refute the benefits of AI in pathology.