Coronavirus: Ventilator Outcomes Using Artificial Intelligence Chest Radiographs & Other Evidence-based Co-variates

  • STATUS
    Recruiting
  • participants needed
    300
  • sponsor
    King's College Hospital NHS Trust
Updated on 27 January 2022
covid-19

Summary

We will determine ventilator outcomes to Coronavirus Infectious Disease 2019 (COVID-19) using artificial Intelligence with inputs of chest radiographs and other evidence-based co-variates.

Description

The chest radiograph (chest x-ray) has emerged as the United Kingdom's National Health Service (NHS) frontline diagnostic imaging test for COVID-19, in conjunction with clinical history and key blood markers: C-reactive protein (CRP) and lymphopenia. Typically, every suspected COVID-19 patient presenting to the emergency department is undergoing blood tests and a chest radiograph. Therefore, it has become critical for radiologists to review and "hot" report the chest x-ray urgently.

Primary Objective: Use chest radiographs and clinical data to determine whether patient can survive with a ventilator

Details
Condition pneumoniae, Pulmonary Disease, Pneumonia, COVID19, Throat and Tonsil Infections, Upper respiratory infection, Pneumonia (Pediatric), pneumonitis, Lung Disease, lung inflammation
Clinical Study IdentifierNCT04855539
SponsorKing's College Hospital NHS Trust
Last Modified on27 January 2022

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