CClinicalTrials.gg
Status unknownNCT04855539COVID VOICEUpdated Sep 16, 2021

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

An observational study in Covid19 and Pneumonia, sponsored by King's College Hospital NHS Trust. Status unknown at 3 sites in United Kingdom. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2021-09-16.

Sponsored by King's College Hospital NHS Trust · Observational

The sponsor has not verified this record recently (last verified Sep 2021), so the status shown — last known as Recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
300
Ages
18 Years and older
Sex
All
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Study 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.

Read the 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

02

Conditions studied

  • Covid19
  • Pneumonia

Browse trials for

03

In context

Pneumonia

2,044 studies on the registry are indexed under Pneumonia; 283 are open to participants now.

This study's planned enrollment of 300 is above the median of 203 across 688 observational studies indexed under Pneumonia.

Browse Pneumonia studies →

Lead sponsor

King's College Hospital NHS Trust is the lead sponsor of 164 studies on the registry; 54 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

All adults with COVID-19 at secondary and tertiary centres

Inclusion criteria

Admitted to intensive care unit (ITU) or equivalent COVID-19 polymerase chain reaction (PCR) positive

Exclusion criteria

Exclusion Criteria:

No imaging prior to ITU admission

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
300 participants (estimated)
Patient registry
No

Groups and cohorts

  • wave 1
  • wave 2
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What researchers measure

Primary outcomes

  1. Sensitivity and specificity of a convolutional neural network to predict survival outcome

    Defined by sensitivity, specificity, positive and negative predictive values

    Time frame: 1 month

07

Study locations

3 of 3 sites recruiting
  • Princess Royal University Hospital
    Orpington, Kent, United Kingdom
    • James Teo, PhD · Contact
    Recruiting
  • Guy's and St Thomas' Hospital
    London, United Kingdom
    • Vicky Goh, FRCR · Contact
    Recruiting
  • King's College Hospital
    London, United Kingdom
    • Thomas Booth, PhD · Contact
    Recruiting
08

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 16, 2021, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
09

Registry details

Key details

Study ID
NCT04855539
Lead sponsor
King's College Hospital NHS Trust
Collaborators
King's College London
Responsible party
Sponsor
First posted
Apr 22, 2021
Start date
Mar 1, 2020
Primary completion
May 1, 2021
Completion
Dec 1, 2021 (estimated)
Last update
Sep 16, 2021

Study contacts

Thomas C Booth, PhD
Contact
thomas.booth@kcl.ac.uk
+44203299482
James Teo, PhD
Contact
jamesteo@nhs.net
+44203299482

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is status unknown, as verified in Sep 2021. You cannot join it, but the record below documents what was studied.

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