Glasgow hospital is the first in the UK to trial AI technology in A&E

The 'ground-breaking' trial can quickly pinpoint areas for concern in CT scans

Author: Alice FaulknerPublished 8th Apr 2024
Last updated 8th Apr 2024

The Queen Elizabeth University Hospital (QEUH) in Glasgow will be the first in the UK to trial artificial intelligence (AI) for head scans in A&E departments.

It's hoped the collaboration with Qure.ai will help to improve turnaround times for CT scans and reduce A&E pressures by allowing doctors to make faster decisions about the care and discharge of some patients.

The AI technology is able to quickly examine head CT scans and accurately pinpoint critical areas of concern.

With the integration of AI at QEUH, medical professionals can then rapidly review reported CT scans, resulting in prompt diagnosis and treatment decisions for patients who may be in critical condition.

In the first few weeks of the trial, over the 2023/24 winter period, the AI technology analysed 651 non-contrast head CTs, detecting 128 head injuries including cranial fractures, intracranial haemorrhage (ICH), mass effect, and mid-line shift within the brain.

'Critical interventions while improving workflow'

Professor David Lowe, Emergency Medicine Consultant at NHS Greater Glasgow and Clyde, said: “Emergency Departments across the country continue to face challenges with one person presenting at a UK ED every 90 seconds, potentially requiring brain imaging .

“By utilising the opportunities of innovative AI to help prioritise urgent cases, we will look to deliver critical interventions whilst improving workflow and time in the ED for patients with normal scans.

“The study looks to provide evidence to support adoption of AI across four centres in the UK.

"We hope this will support clinical teams in decision making to deliver critical clinical care, reassurance and, when appropriate discharge releasing capacity and space for patients in our pressured system.”

'AI solutions'

The project called ACcEPT (Assess the Clinical Effectiveness in Prioritising CT Heads), commenced at the QEUH and is one of four planned NHS sites across the UK, utilising the head CT AI solution from Qure.

Denise Brown, Director of Digital Services at NHS Greater Glasgow and Clyde said: “It is important to establish reliable evidence on the impact and value of AI solutions, and to determine how they best support clinical decision making.

“Our Digital Strategy’s Enabled by AI Programme brings together NHS Greater Glasgow & Clyde’s expertise on research, innovation and the operation of AI solutions at scale, while working closely with colleagues in academia.”

'Exciting step'

Darren Stephens from Qure.ai added: “This is an exciting step forward for AI in NHS Emergency Departments.

"Providing digital health tools that can create calm and give informed prioritisation of urgent cases to support stretched clinical teams, especially at night or weekends, is very advantageous.

"It may help reduce CT scan-to-reporting turnaround times and give rapid alerts of critical findings that will boost the speed of treatment given to patients.”

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