Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development
Introduction: The SARS-CoV-2 pandemic has led to one of the most critical and boundless waves of publications in the history of modern science. The necessity to find and pursue relevant information and quantify its quality is broadly acknowledged. Modern information retrieval techniques combined wit...
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Veröffentlicht in: | Pharmacology 2021-05, Vol.106 (5-6), p.244-253 |
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description | Introduction: The SARS-CoV-2 pandemic has led to one of the most critical and boundless waves of publications in the history of modern science. The necessity to find and pursue relevant information and quantify its quality is broadly acknowledged. Modern information retrieval techniques combined with artificial intelligence (AI) appear as one of the key strategies for COVID-19 living evidence management. Nevertheless, most AI projects that retrieve COVID-19 literature still require manual tasks. Methods: In this context, we present a novel, automated search platform, called Risklick AI, which aims to automatically gather COVID-19 scientific evidence and enables scientists, policy makers, and healthcare professionals to find the most relevant information tailored to their question of interest in real time. Results: Here, we compare the capacity of Risklick AI to find COVID-19-related clinical trials and scientific publications in comparison with clinicaltrials.gov and PubMed in the field of pharmacology and clinical intervention. Discussion: The results demonstrate that Risklick AI is able to find COVID-19 references more effectively, both in terms of precision and recall, compared to the baseline platforms. Hence, Risklick AI could become a useful alternative assistant to scientists fighting the COVID-19 pandemic. |
doi_str_mv | 10.1159/000515908 |
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The necessity to find and pursue relevant information and quantify its quality is broadly acknowledged. Modern information retrieval techniques combined with artificial intelligence (AI) appear as one of the key strategies for COVID-19 living evidence management. Nevertheless, most AI projects that retrieve COVID-19 literature still require manual tasks. Methods: In this context, we present a novel, automated search platform, called Risklick AI, which aims to automatically gather COVID-19 scientific evidence and enables scientists, policy makers, and healthcare professionals to find the most relevant information tailored to their question of interest in real time. Results: Here, we compare the capacity of Risklick AI to find COVID-19-related clinical trials and scientific publications in comparison with clinicaltrials.gov and PubMed in the field of pharmacology and clinical intervention. Discussion: The results demonstrate that Risklick AI is able to find COVID-19 references more effectively, both in terms of precision and recall, compared to the baseline platforms. Hence, Risklick AI could become a useful alternative assistant to scientists fighting the COVID-19 pandemic.</description><identifier>ISSN: 0031-7012</identifier><identifier>EISSN: 1423-0313</identifier><identifier>DOI: 10.1159/000515908</identifier><identifier>PMID: 33910199</identifier><language>eng</language><publisher>Basel, Switzerland: S. Karger AG</publisher><subject>Artificial intelligence ; Artificial Intelligence - statistics & numerical data ; Artificial Intelligence - trends ; Clinical Trials as Topic - statistics & numerical data ; Computational linguistics ; COVID-19 - diagnosis ; COVID-19 - epidemiology ; COVID-19 - therapy ; Data Interpretation, Statistical ; Drug Development - statistics & numerical data ; Drug Development - trends ; Epidemics ; Evidence-Based Medicine - statistics & numerical data ; Evidence-Based Medicine - trends ; Health aspects ; Humans ; Language processing ; Natural language interfaces ; Pharmacology ; Pharmacology - statistics & numerical data ; Pharmacology - trends ; Registries ; Research Article</subject><ispartof>Pharmacology, 2021-05, Vol.106 (5-6), p.244-253</ispartof><rights>2021 S. Karger AG, Basel</rights><rights>2021 S. Karger AG, Basel.</rights><rights>COPYRIGHT 2021 S. Karger AG</rights><rights>Copyright © 2021 by S. Karger AG, Basel 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c491t-4d40656ac859af2a8bdcca7f371cda6e7c31ad61e40a17a901341569916e1b943</citedby><cites>FETCH-LOGICAL-c491t-4d40656ac859af2a8bdcca7f371cda6e7c31ad61e40a17a901341569916e1b943</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,778,782,883,2425,27907,27908</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33910199$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Haas, Quentin</creatorcontrib><creatorcontrib>Alvarez, David Vicente</creatorcontrib><creatorcontrib>Borissov, Nikolay</creatorcontrib><creatorcontrib>Ferdowsi, Sohrab</creatorcontrib><creatorcontrib>von Meyenn, Leonhard</creatorcontrib><creatorcontrib>Trelle, Sven</creatorcontrib><creatorcontrib>Teodoro, Douglas</creatorcontrib><creatorcontrib>Amini, Poorya</creatorcontrib><title>Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development</title><title>Pharmacology</title><addtitle>Pharmacology</addtitle><description>Introduction: The SARS-CoV-2 pandemic has led to one of the most critical and boundless waves of publications in the history of modern science. The necessity to find and pursue relevant information and quantify its quality is broadly acknowledged. Modern information retrieval techniques combined with artificial intelligence (AI) appear as one of the key strategies for COVID-19 living evidence management. Nevertheless, most AI projects that retrieve COVID-19 literature still require manual tasks. Methods: In this context, we present a novel, automated search platform, called Risklick AI, which aims to automatically gather COVID-19 scientific evidence and enables scientists, policy makers, and healthcare professionals to find the most relevant information tailored to their question of interest in real time. Results: Here, we compare the capacity of Risklick AI to find COVID-19-related clinical trials and scientific publications in comparison with clinicaltrials.gov and PubMed in the field of pharmacology and clinical intervention. Discussion: The results demonstrate that Risklick AI is able to find COVID-19 references more effectively, both in terms of precision and recall, compared to the baseline platforms. Hence, Risklick AI could become a useful alternative assistant to scientists fighting the COVID-19 pandemic.</description><subject>Artificial intelligence</subject><subject>Artificial Intelligence - statistics & numerical data</subject><subject>Artificial Intelligence - trends</subject><subject>Clinical Trials as Topic - statistics & numerical data</subject><subject>Computational linguistics</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - therapy</subject><subject>Data Interpretation, Statistical</subject><subject>Drug Development - statistics & numerical data</subject><subject>Drug Development - trends</subject><subject>Epidemics</subject><subject>Evidence-Based Medicine - statistics & numerical data</subject><subject>Evidence-Based Medicine - trends</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Language processing</subject><subject>Natural language interfaces</subject><subject>Pharmacology</subject><subject>Pharmacology - statistics & numerical data</subject><subject>Pharmacology - trends</subject><subject>Registries</subject><subject>Research Article</subject><issn>0031-7012</issn><issn>1423-0313</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkk9vEzEQxS0EomngwB0hS1zgsMWz_90DUpQWiFRUBClXa-L1boZ418G7SRW-Cl8WtwkRlZAtPWn8m2d79Bh7AeIMIJPvhBBZUFE-YiNI4yQSCSSP2UgEjQoB8Qk77fsfAcvjonzKTpJEggApR-z3zUCWflHX8IkfqCZNaPmsG4y11JhOGz44_hk7bAyfXn-fXUQg-TdNprun-eWWqnts7rwPRX5Lw5J_pX5lSa_4ZHbOJ3zqaSAdjOfOWV47z78s0beonXXNjmNX8fnSeFzv-IXZGuvWbbB6xp7UaHvz_KBjdvPhcj79FF1df5xNJ1eRTiUMUVqlIs9y1GUmsY6xXFRaY1EnBegKc1PoBLDKwaQCoUApIEkhy6WE3MBCpsmYvd_7rjeL1lQ6XO3RqrWnFv1OOST18KSjpWrcVpVxWpRh1GP25mDg3c-N6QfVUq_DBLEzbtOrOANZiiwtRUBf79EGrVHU1S446jtcTQqRhZ1BEqiz_1BhVaYl7TpTU6g_aHi7b9De9b039fH1INRdRtQxI4F99e93j-TfUATg5R5YoW-MPwKH_j9Tlb_a</recordid><startdate>20210501</startdate><enddate>20210501</enddate><creator>Haas, Quentin</creator><creator>Alvarez, David Vicente</creator><creator>Borissov, Nikolay</creator><creator>Ferdowsi, Sohrab</creator><creator>von Meyenn, Leonhard</creator><creator>Trelle, Sven</creator><creator>Teodoro, Douglas</creator><creator>Amini, Poorya</creator><general>S. 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The necessity to find and pursue relevant information and quantify its quality is broadly acknowledged. Modern information retrieval techniques combined with artificial intelligence (AI) appear as one of the key strategies for COVID-19 living evidence management. Nevertheless, most AI projects that retrieve COVID-19 literature still require manual tasks. Methods: In this context, we present a novel, automated search platform, called Risklick AI, which aims to automatically gather COVID-19 scientific evidence and enables scientists, policy makers, and healthcare professionals to find the most relevant information tailored to their question of interest in real time. Results: Here, we compare the capacity of Risklick AI to find COVID-19-related clinical trials and scientific publications in comparison with clinicaltrials.gov and PubMed in the field of pharmacology and clinical intervention. 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subjects | Artificial intelligence Artificial Intelligence - statistics & numerical data Artificial Intelligence - trends Clinical Trials as Topic - statistics & numerical data Computational linguistics COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 - therapy Data Interpretation, Statistical Drug Development - statistics & numerical data Drug Development - trends Epidemics Evidence-Based Medicine - statistics & numerical data Evidence-Based Medicine - trends Health aspects Humans Language processing Natural language interfaces Pharmacology Pharmacology - statistics & numerical data Pharmacology - trends Registries Research Article |
title | Utilizing Artificial Intelligence to Manage COVID-19 Scientific Evidence Torrent with Risklick AI: A Critical Tool for Pharmacology and Therapy Development |
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