Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine.
J Med Internet Res
; 22(8): e20007, 2020 08 17.
Artículo
en Inglés
| MEDLINE | ID: covidwho-721428
ABSTRACT
BACKGROUND:
Rapid access to evidence is crucial in times of an evolving clinical crisis. To that end, we propose a novel approach to answer clinical queries, termed rapid meta-analysis (RMA). Unlike traditional meta-analysis, RMA balances a quick time to production with reasonable data quality assurances, leveraging artificial intelligence (AI) to strike this balance.OBJECTIVE:
We aimed to evaluate whether RMA can generate meaningful clinical insights, but crucially, in a much faster processing time than traditional meta-analysis, using a relevant, real-world example.METHODS:
The development of our RMA approach was motivated by a currently relevant clinical question is ocular toxicity and vision compromise a side effect of hydroxychloroquine therapy? At the time of designing this study, hydroxychloroquine was a leading candidate in the treatment of coronavirus disease (COVID-19). We then leveraged AI to pull and screen articles, automatically extract their results, review the studies, and analyze the data with standard statistical methods.RESULTS:
By combining AI with human analysis in our RMA, we generated a meaningful, clinical result in less than 30 minutes. The RMA identified 11 studies considering ocular toxicity as a side effect of hydroxychloroquine and estimated the incidence to be 3.4% (95% CI 1.11%-9.96%). The heterogeneity across individual study findings was high, which should be taken into account in interpretation of the result.CONCLUSIONS:
We demonstrate that a novel approach to meta-analysis using AI can generate meaningful clinical insights in a much shorter time period than traditional meta-analysis.Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Inteligencia Artificial
/
Metaanálisis como Asunto
/
Infecciones por Coronavirus
/
Oftalmopatías
/
Hidroxicloroquina
Tipo de estudio:
Reporte de caso
/
Estudio experimental
/
Estudio observacional
/
Estudio pronóstico
/
Ensayo controlado aleatorizado
/
Revisiones
Límite:
Humanos
Idioma:
Inglés
Revista:
J Med Internet Res
Asunto de la revista:
Informática Médica
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
20007
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