Evidence map›Paper›PMID 32549878›Full record

ArticleEJIFCC2020

Artificial Intelligence-Powered Search Tools and Resources in the Fight Against COVID-19.

Larry J Kricka, Sergei Polevikov, Jason Y Park, Paolo Fortina, Sergio Bernardini, Daniel Satchkov, Valentin Kolesov, Maxim Grishkov

Abstract read
In one paragraph

Article in EJIFCC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Digital imaging, technologies and artificial intelligence applications during COVID-19 pandemic.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Artificial Intelligence and Precision Medicine: A Perspective.Advances in experimental medicine and biology · 2022
    Article
  6. Review
  7. COBERT: COVID-19 Question Answering System Using BERT.Arabian journal for science and engineering · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic.Information systems frontiers : a journal of research and innovation · 2021
    Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Larry J KrickaDepartment of Pathology and Laboratory Medicine, University of Pennsylvania Medical Center, Philadelphia, PA, USA.
Sergei PolevikovWellAI, LLC, Sheridan, WY, USA.
Jason Y ParkDepartment of Pathology and the Eugene McDermott Center for Human Growth and Development, Children's Medical Center, and University of Texas Southwestern Medical School, USA.
Paolo FortinaCancer Genomics and Bioinformatics, Department of Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA.
Sergio BernardiniDepartment of Experimental Medicine, University Tor Vergata, Rome, Italy.
Daniel SatchkovWellAI, LLC, Sheridan, WY, USA.
Valentin KolesovWellAI, LLC, Sheridan, WY, USA.
Maxim GrishkovWellAI, LLC, Sheridan, WY, USA.

Funding

X-Ray Crystallography and Macromolecular CharacterizationP30CA056036 · NCI · THOMAS JEFFERSON UNIVERSITY · PI DANIEL P SILVER · 1995 to 2026
$94.8M
NCI NIH HHS P30 CA056036
6 · The paper itself

Abstract

Emerging technologies are set to play an important role in our response to the COVID-19 pandemic. This paper explores three prominent initiatives: COVID-19 focused datasets (e.g., CORD-19); Artificial intelligence-powered search tools (e.g., WellAI, SciSight); and contact tracing based on mobile communication technology. We believe that increasing awareness of these tools will be important in future research into the disease, COVID-19, and the virus, SARS-CoV-2.

Indexed as

artificial intelligencecontact tracingCOVID-19machine learningSARS-CoV-2

Identifiers

PMID32549878
PMCPMC7294813

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.