Home Lifestyle Health Artificial intelligence transforms stroke treatment in the NHS

Artificial intelligence transforms stroke treatment in the NHS


The number of patients who recover and are able to do daily activities triples from 16% to 48% when advanced AI technology is used.

One of the most urgent medical diagnoses was saved time thanks to the Brainomix e-Stroke system, which slashed door in and out times from 140 to 79 minutes.

More than 111,000 suspected stroke patients in England’s five-stroke networks have benefited from this innovative system thanks to government financing.

Thanks to government investments in cutting edge artificial intelligence (AI) to identify and decide the optimal treatment for stroke patients, tens of thousands of stroke victims nationwide are benefiting from quicker treatment and improved outcomes.

Early research on the technology, which was funded by the government’s AI in Health and Care Awards’ first round, indicates it can cut the time between a stroke patient’s presentation and treatment by more than 60 minutes and is linked to a threefold increase in the proportion of stroke patients who recover with no or only minor disability, or who achieve functional independence, from 16% to 48%.

Modernizing the health and care system with ground-breaking AI technology will prepare it for the future. These innovative tools for diagnosis and treatment are not only enhancing patient outcomes but also releasing priceless clinician time, assisting the hardworking NHS workers who are working round-the-clock to reduce the COVID backlog.

Health and Social Care Secretary Steve Barclay said:

AI has the potential to transform our NHS – delivering faster, more accurate diagnoses and making sure patients can get the treatment they need, when they need it.


Brainomix is an incredible example of how this can be achieved, using the power of AI to shave lifesaving minutes off one of the most time-sensitive diagnoses in medicine meaning patients get the treatment they need faster.


I am immensely proud the AI Awards continues to harness this innovation, empowering researchers across the country to deliver ground breaking new technologies which will transform our health and care system.


NHS England Director of Transformation Dr Timothy Ferris said:

Every minute saved during the initial hospital assessment of people with stroke-like symptoms can dramatically improve a patient’s chance of leaving hospital in good health.

The NHS is harnessing the potential that AI has to support expert staff in delivering life-changing care for patients with a range of needs, and through the AI in Health and Care awards we are testing, evaluating and supporting the most promising technologies which could transform the way we deliver care.

Strokes affect 85,000 people in England every year and getting into a hospital and starting the right treatment quickly is key to making a good recovery.


The Brainomix e-Stroke system,

employs cutting-edge AI algorithms to help doctors by providing real-time decision support in the interpretation of brain scans that assist in informing decisions for stroke patients. This enables more patients to receive the appropriate treatment, at the appropriate location, and at the appropriate time.

The e-Stroke technology enables stroke specialists to safely and remotely access scans and images, enabling them to do their duties quickly and assist other institutions in providing world-class stroke care. In order to ensure that more people who experience a stroke receive high-quality specialist care, from pre-hospital through early supported discharge, community specialist stroke-skilled rehabilitation, and lifelong care, this aids clinicians working across integrated stroke delivery networks (ISDN).

Currently, 5 Brainomix e-Stroke deployment sites across 11 stroke networks in the nation have been sponsored by the AI in Health and Care Award. With the help of this financing, more than 4,500 major vascular occlusions (LVOs) in stroke patients have been found. One of the medical diagnoses with the highest time sensitivity is LVO, and early detection can improve patient outcomes.

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