Version 1
: Received: 19 April 2023 / Approved: 20 April 2023 / Online: 20 April 2023 (10:11:03 CEST)
How to cite:
Ivantysyn, M.; Vaclavikova, D.; Musil, P. Use of Artificial Intelligence in Processing of COVID-19-Related Scientific Literature. Preprints2023, 2023040647. https://doi.org/10.20944/preprints202304.0647.v1
Ivantysyn, M.; Vaclavikova, D.; Musil, P. Use of Artificial Intelligence in Processing of COVID-19-Related Scientific Literature. Preprints 2023, 2023040647. https://doi.org/10.20944/preprints202304.0647.v1
Ivantysyn, M.; Vaclavikova, D.; Musil, P. Use of Artificial Intelligence in Processing of COVID-19-Related Scientific Literature. Preprints2023, 2023040647. https://doi.org/10.20944/preprints202304.0647.v1
APA Style
Ivantysyn, M., Vaclavikova, D., & Musil, P. (2023). Use of Artificial Intelligence in Processing of COVID-19-Related Scientific Literature. Preprints. https://doi.org/10.20944/preprints202304.0647.v1
Chicago/Turabian Style
Ivantysyn, M., Dagmar Vaclavikova and Peter Musil. 2023 "Use of Artificial Intelligence in Processing of COVID-19-Related Scientific Literature" Preprints. https://doi.org/10.20944/preprints202304.0647.v1
Abstract
The COVID-19 pandemic has resulted in an unprecedented acceleration in scientific production across multiple disciplines. The vast number of publications available makes it challenging for healthcare professionals and researchers to keep up with the current state of knowledge regarding COVID-19. This article presents covid19-help.org, a free expert-curated database designed to increase the availability of relevant original data related to COVID-19 treatment and prevention via immunization. To accelerate the process of identifying relevant original scientific publications and to simplify annotation of their content, the database uses our artificial intelligence in medical literature (AIM.lit) tool. The article provides an overview of the covid19-help.org database design, the criteria used to select publications, and the use of the AIM.lit tool. The database allows users to easily search and filter records, provides concise information on individual substances and their mechanisms of action, lists relevant original scientific publications with annotations, and offers links to external resources. The AIM.lit tool increases the speed of publication selection and extraction of basic relevant information, without compromising the validity of the data. The technology and experience gained from creating the covid19-help.org database and its tools could also be useful in other areas where scientific information organization is a challenge.
Keywords
COVID-19; literature processing; AI
Subject
Medicine and Pharmacology, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
