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QEQM and The William Harvey Hospital to use AI to help diagnose cancer

Artificial intelligence (AI) which is able to detect cancer is being rolled out across two hospitals in Kent.

Emergency departments at the William Harvey Hospital in Ashford and QEQM Hospital in Margate are set to introduce the technology to analyse chest X-rays in a bid to reduce delays in starting treatment.

The William Harvey Hospital in Ashford
The William Harvey Hospital in Ashford

The qXR software, developed by Qure.ai, can spot potential issues almost instantly and alert doctors from East Kent Hospitals University NHS Foundation Trust (EKHUFT).

It means issues such as cancer, collapsed lungs and tuberculosis can potentially be detected, without having to wait for a radiologist or expert reporting radiographer to review the images.

Neelan Das, consultant interventional radiologist, and AI lead for the trust, said there were clear benefits for patients and emergency department staff at the two hospitals.

He said: “We are very excited about this new imaging innovation which we think will make a real difference to the departments.

“The technology allows for faster interpretation and targeted reporting of the images so that any abnormalities can be flagged immediately for the doctor to review.

“Our initial testing has shown that it is at least as sensitive as a senior radiologist and when it is rolled out fully across our emergency departments it could analyse thousands of x-rays every month.”

Neelan Das, AI lead at East Kent Hospitals University NHS Foundation Trust
Neelan Das, AI lead at East Kent Hospitals University NHS Foundation Trust

Doctors will review the findings generated by the software before deciding on any treatment, and senior radiologists will regularly check the reports for accuracy.

The qXR AI solution will highlight critical cases, allowing doctors to focus on people who need the most urgent treatment.

Mr Das said: “It is not about replacing medical staff, and we are very clear that the AI-generated report is guidance for our clinicians who will make the final decision on whether they agree with it or not, and will plan any treatment they deem necessary.

“But it has real potential to improve patient care and outcomes and to reduce delays in our emergency departments. Ongoing performance monitoring of all new AI technologies introduced into the NHS is key to success and adoption.”

The hospital trust is already using AI software to monitor patients’ eye health and detect signs of disease, evidence of stroke, and analyse potential lung cancers on CT scans as part of the new national lung cancer screening programme.

The QEQM hospital in Margate
The QEQM hospital in Margate

Darren Stephens, commercial head for UK and Europe at Qure.ai, said: “We are excited to partner with East Kent Hospitals with the aim of powering the efficiency of radiology reporting of chest X-rays with very high accuracy.

“A layer of AI-enabled chest X-ray triaging can prompt precise identification of critical cases, resulting in optimised resources and enhanced patient experiences."

EKHUFT is part of the National Institute for Health and Care Research’s AI Centre consortium – a group of 16 organisations working on developing ways to include technology to benefit patients.

The NHS nationally has set up a dedicated procurement portal for AI projects and the Qure.ai contract was one of the first to be procured through the scheme.

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