NCT04855539

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

Coronavirus Infectious Disease 2019: Ventilator Outcomes Using Artificial Intelligence, Chest Radiographs and Other Evidence-based Co-variates (COVID VOICE)

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 300 (estimated)
• Sponsor: King's College Hospital NHS Trust · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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.

Detailed 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

Conditions

• Covid19
• Pneumonia

Timeline

• Start date: 2020-03-01
• Primary completion: 2021-05-01
• Completion: 2021-12-01
• First posted: 2021-04-22
• Last updated: 2021-09-16

Locations

3 sites across 1 country: United Kingdom