qXR

Erasmus MC rolls out AI-powered chest x-ray tools

Erasmus Medical Centre (MC), Rotterdam, the Netherlands, has extended its long-term collaboration with Qure.ai, commencing a study that aims to detect and follow up incidental pulmonary nodules using AI and digital healthcare coordination tools. Chest x-ray AI solution qXR has been integrated into Erasmus MC’s existing radiology workflow. It automatically reviews patient chest x-rays requested from multiple […]

Read More

NHS Greater Glasgow and Clyde deploys AI for earlier detection of lung cancer

A digital health collaboration between the Scottish Government, University of Glasgow, Qure.ai and NHS Greater Glasgow and Clyde is rolling out the AI-powered chest x-ray reporting solution qXR across Glasgow. It is part of a national coordinated evaluation of AI in radiology to improve lung cancer patient outcomes, and to prove clinical and cost effectiveness. […]

Read More

East Suffolk and North Essex NHS Foundation Trust joins LungIMPACT study

Quest continues to gather real-world evidence on AI-assisted lung cancer diagnosis East Suffolk and North Essex NHS Foundation Trust (ESNEFT) has joined the collaborative LungIMPACT study bringing UK academia, NHS hospitals and AI innovator Qure.ai together to gather real-world evidence of AI-assisted diagnosis of lung cancer. The LungIMPACT trial is using Qure’s qXR solution to […]

Read More

AI project sites go-live to accelerate the diagnosis of lung cancer

LungIMPACT trial starts gathering real-world evidence with aim of saving lives now and into the future. A collaborative study between UK academia, NHS hospitals and AI innovator Qure.ai has commenced to gather real-world evidence of AI-assisted diagnosis of lung cancer, which could help save thousands of lives. The LungIMPACT trial is using Qure’s qXR (CE […]

Read More

InHealth to enhance telereporting services with Qure.ai chest x-ray solution

Provider of diagnostic and healthcare solutions InHealth has announced a partnership with Qure.ai, a specialist in medical AI solutions. InHealth will deploy Qure.ai’s AI solution to aid the classification of chest x-rays into normal and abnormal examinations. The solution will be deployed across InHealth’s telereporting service to help enhance the quality and accuracy of reporting […]

Read More

Early findings of AI study at Frimley Health NHS Foundation Trust show 99.7% accuracy in triaging chest x-rays as normal

Potential to lighten consultant radiologists’ burden by up to 58% through radiographer reporting. Frimley Health NHS Foundation Trust and Qure.ai have announced the early results of a pilot study using an innovative radiology AI solution to read and differentiate between normal and abnormal chest x-rays (CXRs). qXR, a CE class IIb MDR cleared solution developed […]

Read More

AI software helps speed up x-ray reporting

Qure.ai’s qXR software procured though the NHS Shared Business Services (NHS SBS) Framework Agreement Clinicians at East Kent Hospitals are using artificial intelligence (AI) software to help check chest x-rays for patients in its emergency departments. The qXR software, developed by Qure.ai, can spot potential issues almost instantly and alert doctors, reducing any potential delay […]

Read More

Stay up to date with
RAD Magazine

Sign up for our newsletter.

We care about your data. Read our privacy policy.