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.
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
Study Type
OBSERVATIONAL
Enrollment
300
Princess Royal University Hospital
Orpington, Kent, United Kingdom
RECRUITINGGuy's and St Thomas' Hospital
London, United Kingdom
RECRUITINGKing's College Hospital
London, United Kingdom
RECRUITINGSensitivity and specificity of a convolutional neural network to predict survival outcome
Defined by sensitivity, specificity, positive and negative predictive values
Time frame: 1 month
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