Early Findings of AI Study at Frimley Health NHS Foundation Trust Show 99.7% Accuracy in Triaging Chest X-rays as Normal

Qure.aiFrimley 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 by Qure, was deployed with the hypothesis to categorise normal x-rays - approximately 40% of the caseload from GP and outpatient requests - and augment overall reporting efficiency. The aim of the study was to highlight AI’s potential role in optimising radiology department workflows, to boost efficiency and enhance patient outcomes.

Early results show 99.7% accuracy in triaging CXRs as normal, with the potential to reduce consultant radiologist’s workload by up to 58% by transferring cases to radiographer reporting workload. This could save consultant radiologists up to 2 hours per day, freeing up time to concentrate on specialist and complex imaging reports.

Additionally, the qXR AI identified all cancer cases, including inconspicuous cancer risk nodules that may traditionally remain unnoticed. This heralds the potential of using AI for early detection and treatment of lung cancer.

Dr Amrita Kumar, Consultant Radiologist and AI Clinical Lead at Frimley Health NHS Foundation Trust states, "AI offers a transformative advantage to Frimley Health NHS Foundation Trust, enabling efficient triage of normal chest X-rays and empowering radiologists to focus on complex cases. By optimising efficiency, Qure's qXR Chest X-ray solution contributes to better patient outcomes and addresses the critical need for innovative AI solutions in the radiology department."

Darren Stephens, Senior Vice President & Commercial Head UK and Europe of Qure.ai comments, "The ongoing radiologist shortage, now estimated by Royal College of Radiologists to be 40% by 2027, underscores the importance of healthcare AI to help augment the precious human resource that currently exists, and ensure the delivery of the highest standard of patient care into the future. The qXR study at Frimley Health NHS Foundation Trust is testimony to the clinical leadership at the Trust in embracing AI as an opportunity for positive change."

For further information, please visit:
https://qure.ai

About Qure.ai

Qure.ai is a health tech company that uses deep learning and Artificial Intelligence (AI) tools to make healthcare more accessible and affordable to patients around the world in medical imaging & care coordination. Our technology fulfils a pertinent, unmet need in the radiology industry. With the aid of tools like those developed by Qure.ai, which work via a sophisticated set of algorithms that can instantly evaluate scans to prioritize actionable patient cases quickly, radiologists can focus their time and advanced skill sets on the most pressing diagnoses.

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...