Covidenda Research Honored Among 'Best Abstracts' at 2020 European Respiratory Society Conference

An abstract submitted by Covidenda researchers Jason Fleischer and Mohammad Tariqul Islam was honored in the category of “Best Abstracts” at this year’s European Respiratory Society Conference.

The abstract, “Identifying and phenotyping COVID-19 patients using machine learning on chest x-rays”, describes an AI-based system for gleaning accurate and specific COVID-19 diagnoses and phenotype from widely-available chest x-rays. Such precision had only been available in the past with more expensive CT scans.

The full paper is available on Medrxiv.

To read more about their selection, see link to article at Medscape.