Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The Use of Artificial Intelligence for the Fast and Effective Identification of Three Rs-based Literature

The Use of Artificial Intelligence for the Fast and Effective Identification of Three Rs-based... Comment Alternatives to Laboratory Animals 2021, Vol. 49(4) 133–136 © The Author(s) 2021 The Use of Artificial Intelligence for the Article reuse guidelines: sagepub.com/journals-permissions Fast and Effective Identification of Three DOI: 10.1177/02611929211048447 journals.sagepub.com/home/atl Rs-based Literature 1,2 3,4 Merel Ritskes-Hoitinga and Wynand Alkema As strong believers in powerful tools within specific expert considered more important than consulting databases, areas, such as the field of animal replacement, we advocate which means that the newest opportunities available in not only the further integration of existing literature and the literature may be missed. In summary, we can conclude Three Rs databases into a pan-European database, but also that carrying out an appropriately detailed Three Rs search the leveraging of artificial intelligence (AI) in extracting is thought by many to be too time-consuming and inef- 1,2 expert knowledge from the bibliome. Such expert fective, even though the implementation of existing Three knowledge could be captured within a strong algorithm that Rs possibilities is an expectation and legal obligation under classifies literature according to its Three Rs-based content. EU Directive 2010/63/EU. This algorithm could be used by researchers as a fast and effective strategy for searching for Three Rs-based methods What are the challenges in http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Alternatives to Laboratory Animals SAGE

The Use of Artificial Intelligence for the Fast and Effective Identification of Three Rs-based Literature

Loading next page...
 
/lp/sage/the-use-of-artificial-intelligence-for-the-fast-and-effective-WvDEAgTzDF
Publisher
SAGE
Copyright
© The Author(s) 2021
ISSN
0261-1929
eISSN
2632-3559
DOI
10.1177/02611929211048447
Publisher site
See Article on Publisher Site

Abstract

Comment Alternatives to Laboratory Animals 2021, Vol. 49(4) 133–136 © The Author(s) 2021 The Use of Artificial Intelligence for the Article reuse guidelines: sagepub.com/journals-permissions Fast and Effective Identification of Three DOI: 10.1177/02611929211048447 journals.sagepub.com/home/atl Rs-based Literature 1,2 3,4 Merel Ritskes-Hoitinga and Wynand Alkema As strong believers in powerful tools within specific expert considered more important than consulting databases, areas, such as the field of animal replacement, we advocate which means that the newest opportunities available in not only the further integration of existing literature and the literature may be missed. In summary, we can conclude Three Rs databases into a pan-European database, but also that carrying out an appropriately detailed Three Rs search the leveraging of artificial intelligence (AI) in extracting is thought by many to be too time-consuming and inef- 1,2 expert knowledge from the bibliome. Such expert fective, even though the implementation of existing Three knowledge could be captured within a strong algorithm that Rs possibilities is an expectation and legal obligation under classifies literature according to its Three Rs-based content. EU Directive 2010/63/EU. This algorithm could be used by researchers as a fast and effective strategy for searching for Three Rs-based methods What are the challenges in

Journal

Alternatives to Laboratory AnimalsSAGE

Published: Jul 1, 2021

There are no references for this article.