Site navigation

NHS Welcomes AI-assisted CT Scans From Scots Company

Michael Edgar

,

AI-assisted CT scans
Edinburgh-based Blackford to provide an AI-powered CT scan anomaly detection tool to an NHS hospital.

Milton Keynes University Hospital (MKUH) is set to receive a neurocritical AI solution called qER which will help identify life threatening abnormalities in computer tomography (CT) scans. 

The solution itself was developed in partnership between Blackford and Qure.ai, a New York-headquartered medtech company renowned for its AI and radiology solutions. The two companies have an ongoing partnership which leverages AI to enhance clinical decision making. 

The implementation of qER at MKUH is part of the hospital’s broader AI strategy, facilitated by the Blackford Platform (add link), which streamlines the evaluation, adoption, monitoring, and support of AI solutions.

“By harnessing the power of AI, we can improve clinical workflow efficiency therefore ensuring that we deliver the safest and most effective care for all of our patients.” said Andrew Scott, PACS manager / imaging IT systems lead imaging department of Milton Keynes University Hospital NHS Foundation Trust.

Qure.ai’s new tool, qER, is one of the first AI solutions to be evaluated and deployed by Blackform Platform at MKUH. It automates the process for detecting abnormalities which helps clinicians save time to focus on better patient care. 


Recommended


The current process of reviewing CT scan results is time consuming and complicated, as the radiologist may take 30 to 40 minutes to go through each quadrant of the radiological anatomy. While the rate of miss vary, different radiologists may arrive on different conclusions in up to 37% of cases according to a report. 

“Blackford is committed to delivering AI solutions that broaden clinical and operational AI usage and drive additional value for healthcare organisations and their patients,” said Blackford CEO Ben Panter. 

“Our model of partnering with best-of-breed AI providers like Qure.ai to tailor solutions via our tried-and-tested platform makes it easier and more efficient for healthcare providers like MKUH to evaluate and deploy AI and generate immediate and ongoing value.”

Michael Edgar

Staff Writer, DIGIT

Latest News

Cybersecurity Editor's Picks Recruitment Security

Comment | Building Cyber Talent Takes More Than a Degree

Culture Featured Technology

Inside TecTonic’s Growing Innovation Market Square

Cybersecurity

Revolut Leaked Customer Data to Fake Government Email Account

Cybersecurity Editor's Picks Security

Welsh SMEs Urged to Strengthen Cyber Defences