Qure.ai's Brain CT AI Wins Funding from the NHS

The UK Department of Health and Social Care announced that Qure.ai has been selected as one of the winners of the Artificial Intelligence in Health and Care Award, sponsored by the UK government. Qure.ai is a 5-year-old Sequoia-funded company builds Artificial Intelligence (AI) powered solutions to facilitate identification and treatment of stroke and head injuries. The Award has been instituted by the Accelerated Access Collaborative (AAC) in partnership with NHSX and the National Institute for Health Research (NIHR). The consortium is making £140 million available over four years in funding and support for promising AI technologies.

The award will drive Qure.ai's mission to gather real-world evidence for its qER tool in an ER setting, in partnership with the NHS Guy's and St. Thomas' Foundation Trust, NHS King's College Hospital Foundation Trust, NHS Northumbria Healthcare Foundation Trust and other key Major Trauma focused NHS trusts across the country.

qER is Qure.ai’s AI platform that identifies a range of critical abnormalities on head CT scans, such as bleeds, strokes and fractures. The technology is CE-marked and received United States FDA clearance in 2020. qER will now be deployed in Accident and Emergency (A&E) departments in the UK to improve diagnostic turn-around times for these critical conditions and help reduce missed diagnoses. The NHS has seen a significant rise in A&E footfalls as well as growing volumes and complexity of imaging, with CT and MRI volumes increasing by an average of 10% (over half a million scans) per year(1), while patient wait times in the A&E have been steadily increasing too. For better patient outcomes, the time to diagnosis and treatment is critical, particularly for patients with neuro presentations such as head trauma or stroke.

Dr. Haris Shuaib, Consultant Physicist, Head of Clinical Scientific Computing at Guy's and St Thomas' NHS Foundation Trust said, "Our out-of-hours radiology reporting service would benefit greatly from an effective triaging and prioritisation system. With the qER system from Qure we hope to be able to manage critical findings like intracranial hemorrhage even more effectively."

Dr Hugh Harvey, Managing Director, Hardian Health- "Winning a Phase 3 AAC award is a testimony to the strong consortium that has come together to support deployment and scaling of Qure's market-leading qER software. Hardian Health is truly excited to be part of this fantastic consortium. We will be conducting cost-effectiveness analysis of the care pathways by involving all stakeholders, from NHS clinicians to patient advocacy groups."

"We are excited about this Award from NHSX," says Dr. Pooja Rao, R&D Head and co-founder of Qure.ai. "This NHSX grant will help us demonstrate that appropriate use of AI technology leads to better patient outcomes and accrues economic benefits to the NHS system. It paves the way for wider adoption of Qure's technology in the UK."

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

About NHSX

NHSX is a joint unit of teams from the Department of Health and Social Care and NHS England and Improvement, driving forward the digital transformation of health and social care.

About AAC

The Accelerated Access Collaborative (AAC) is a unique partnership between patient groups, government bodies, industry and NHS bodies, working together to streamline the adoption of new innovations in healthcare.

About NIHR

The National Institute for Health and Research (NIHR) provides the people, facilities, and technology that enable research to thrive.

About Qure.ai

Qure.ai is a breakthrough Artificial Intelligence (AI) solution developer that is disrupting the radiology ‘status quo’ by enhancing imaging accuracy and improving health outcomes with the assistance of machine-supported tools. Qure’s solutions have been deployed in 40 + countries and has offices in the US, UK and India. Qure.ai taps deep learning technology to provide automated interpretation of radiology exams like X-rays and CTs for time and resource-strapped medical imaging professionals—enabling faster diagnosis and speed to treatment. Qure.ai is helping make healthcare more accessible and affordable to patients worldwide.

1. NHS UK. (2018, September). Hospital Accident and Emergency Activity. NHS England. https://files.digital.nhs.uk/D3/CCB4FE/AE1718_%20Annual%20Summary.pdf and Royal College of Radiologists. (2018). Clinical Radiology: UK Workforce Census 2018 Report. Royal College of Radiologists. https://www.rcr.ac.uk/system/files/publication/field_publication_files/clinical- radiology-uk-workforce-census-report-2018.pdf

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...

AI Finds Hundreds of Potential Antibioti…

Snake, scorpion, and spider venom are most frequently associated with poisonous bites, but with the help of artificial intelligence, they might be able to help fight antibiotic resistance, which contributes...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

AI Accurately Classifies Pancreatic Cyst…

Artificial intelligence (AI) models such as ChatGPT are designed to rapidly process data. Using the AI ChatGPT-4 platform to extract and analyze specific data points from the Magnetic Resonance Imaging...