Journal of Pathology Informatics Journal of Pathology Informatics
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REVIEW ARTICLE
Year : 2018  |  Volume : 9  |  Issue : 1  |  Page : 2

A review on the applications of crowdsourcing in human pathology


1 Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
2 Department of Computer Science, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
3 Telemedicine Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Shahid Beheshti University of Medical Sciences, Tehran, Iran
4 Department of Pathology and Laboratory Medicine, Davis Medical Center, University of California, Sacramento, CA, USA
5 Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, USA

Correspondence Address:
Mr. Sasan Tavakkol
Department of Computer Science, Viterbi School of Engineering, University of Southern California, 920 Downey Way, Suite 216, Los Angeles, CA 90089
USA
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jpi.jpi_65_17

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The advent of the digital pathology has introduced new avenues of diagnostic medicine. Among them, crowdsourcing has attracted researchers' attention in the recent years, allowing them to engage thousands of untrained individuals in research and diagnosis. While there exist several articles in this regard, prior works have not collectively documented them. We, therefore, aim to review the applications of crowdsourcing in human pathology in a semi-systematic manner. We first, introduce a novel method to do a systematic search of the literature. Utilizing this method, we, then, collect hundreds of articles and screen them against a predefined set of criteria. Furthermore, we crowdsource part of the screening process, to examine another potential application of crowdsourcing. Finally, we review the selected articles and characterize the prior uses of crowdsourcing in pathology.


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