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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 8, 2020
Date Accepted: Jul 22, 2020

The final, peer-reviewed published version of this preprint can be found here:

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

Michelson M, Chow T, Martin NA, Ross M, Tee A, Minton S

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

J Med Internet Res 2020;22(8):e20007

DOI: 10.2196/20007

PMID: 32804086

PMCID: 7459430

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Ocular toxicity and Hydroxychloroquine: A Rapid Meta-Analysis leveraging Artificial Intelligence

  • Matthew Michelson; 
  • Tiffany Chow; 
  • Neil A Martin; 
  • Mike Ross; 
  • Amelia Tee; 
  • Steven Minton

ABSTRACT

Rapid access to evidence is crucial in times of evolving clinical crisis. To that end, we propose a novel mechanism to answer clinical queries: Rapid Meta-Analysis (RMA). Unlike traditional meta-analysis, RMA balances quick time-to-production with reasonable data quality assurances, leveraging Artificial Intelligence to strike this balance. This article presents an example RMA to a currently relevant clinical question: Is ocular toxicity and vision compromise a side effect with hydroxychloroquine therapy? As of this writing, hydroxychloroquine is a leading candidate in the treatment of COVID-19. By combining AI with human analysis, our RMA identified 11 studies looking at ocular toxicity as a side effect and estimated the incidence to be 3.4% (95% CI: 1.11-9.96%). The heterogeneity across the individual study findings was high, and interpretation of the result should take this into account. Importantly, this RMA, from search to screen to analysis, took less than 30 minutes to produce.


 Citation

Please cite as:

Michelson M, Chow T, Martin NA, Ross M, Tee A, Minton S

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

J Med Internet Res 2020;22(8):e20007

DOI: 10.2196/20007

PMID: 32804086

PMCID: 7459430

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