Assess the Clinical Effectiveness in AI Prioritising CT Heads

RecruitingOBSERVATIONAL
Enrollment

16,800

Participants

Timeline

Start Date

March 27, 2024

Primary Completion Date

August 31, 2024

Study Completion Date

August 31, 2024

Conditions
Trauma, BrainMass LesionSkull FracturesHemorrhage, IntracranialMidline DeviationStroke, IschemicEncephalomalacia
Interventions
DEVICE

qER (qER EU 2.0)

Qure.ai's emergency room software solution qER (qER EU 2.0) is an AI medical device, developed by training a deep-learning algorithm using over 300,000 scans labelled by expert radiologists. qER has been shown to be accurate in identifying a range of abnormalities in NCCT head scans as well as prioritising them for urgent review and radiologist reporting. It is designated as a clinical support tool and, when used with original scans, can assist the clinician to improve efficiency, accuracy, and turnaround time in reading head CTs.

Trial Locations (4)

Unknown

RECRUITING

NHS Greater Glasgow and Clyde, Glasgow

SE1 7EH

RECRUITING

Guy's and St.Thomas Trusts, London

NE27 0QJ

RECRUITING

Northumbria Healthcare NHS Foundation Trust, Northumberland

OX3 9DU

RECRUITING

Oxford University Hospitals, Oxford

All Listed Sponsors
collaborator

Qure.ai

UNKNOWN

collaborator

NHS Greater Glasgow and Clyde

OTHER

collaborator

Northumbria Healthcare NHS Foundation Trust

OTHER

collaborator

Oxford University Hospitals NHS Trust

OTHER

lead

Guy's and St Thomas' NHS Foundation Trust

OTHER