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Commentary

Computer Vision and Artificial Intelligence Are Emerging Diagnostic Tools for the Clinical Microbiologist

Daniel D. Rhoads
Bobbi S. Pritt, Editor
Daniel D. Rhoads
aDepartment of Pathology, Case Western Reserve University, Cleveland, Ohio, USA
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Bobbi S. Pritt
Mayo Clinic
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DOI: 10.1128/JCM.00511-20
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Article Information

DOI 
https://doi.org/10.1128/JCM.00511-20
PubMed 
32295889

Published By 
American Society for Microbiology Journals
History 
  • Published online May 26, 2020.

Copyright & Usage 
Copyright © 2020 American Society for Microbiology. All Rights Reserved.
Editors and / or Reviewers 
  • Bobbi S. Pritt, Editor, Mayo Clinic

Article Versions

  • Accepted Manuscript version (April 15, 2020).
  • You are viewing the most recent version of this article.

Author Information

  1. Daniel D. Rhoadsa
  1. aDepartment of Pathology, Case Western Reserve University, Cleveland, Ohio, USA
  • Address correspondence to daniel.rhoads{at}case.edu.
  • Citation Rhoads DD. 2020. Computer vision and artificial intelligence are emerging diagnostic tools for the clinical microbiologist. J Clin Microbiol 58:e00511-20. https://doi.org/10.1128/JCM.00511-20.

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Computer Vision and Artificial Intelligence Are Emerging Diagnostic Tools for the Clinical Microbiologist
Daniel D. Rhoads
Journal of Clinical Microbiology May 2020, 58 (6) e00511-20; DOI: 10.1128/JCM.00511-20

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Computer Vision and Artificial Intelligence Are Emerging Diagnostic Tools for the Clinical Microbiologist
Daniel D. Rhoads
Journal of Clinical Microbiology May 2020, 58 (6) e00511-20; DOI: 10.1128/JCM.00511-20
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KEYWORDS

artificial intelligence
bioinformatics
computer vision
digital pathology
microbiology
parasitology

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