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Artificial intelligence revolutionising NHS stroke care

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Artificial intelligence revolutionising NHS stroke care
  • The Brainomix e-Stroke system reduced gate entry and exit times from 140 to 79 minutes, reducing life-saving time in one of the most time-sensitive diagnoses in medicine.

  • Government funding has enabled more than 111,000 suspected stroke patients to benefit from this innovative system in five stroke networks in England.

Tens of thousands of stroke patients across the country are benefiting from faster treatment and better outcomes thanks to government investment in cutting-edge artificial intelligence (AI) to diagnose and determine the best treatment for stroke patients. cerebrovascular.

Early-stage analysis of the technology, which received funding from the first round of the government’s AI in Health and Care Awards, shows it can reduce the time between stroke presentation and treatment by more than 60 minutes, and is associated with a tripling in the number of stroke patients who recover without disability or with mild disability (defined as achieving functional independence) from 16 to 48 percent.

Pioneering AI technologies are revolutionizing the health and care system to make it fit for the future. These innovative diagnostic and treatment tools not only help improve patient outcomes, but also free up valuable time for doctors and support hard-working NHS staff who are working tirelessly to address Covid delays.

Health and Social Care Secretary Steve Barclay said:

AI has the potential to transform our NHS – delivering faster and more accurate diagnoses and ensuring 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 reduce life-saving minutes on one of the most time-sensitive diagnoses in medicine, meaning patients get the treatment they need most. Quick.

I am immensely proud that the AI ​​Awards continue to build on this innovation, empowering researchers across the country to deliver breakthrough new technologies that will transform our health and care system.

NHS England Director of Transformation, Dr Timothy Ferris, said:

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

The NHS is harnessing the potential of AI to support expert staff in delivering life-changing care to 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 that could transform the way we deliver care.

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

The Brainomix e-Stroke system, developed in the UK, uses state-of-the-art artificial intelligence algorithms to assist clinicians by providing real-time decision support in the interpretation of brain scans that help inform decisions. of stroke patients, allowing more patients to receive the right treatment, in the right place, at the right time.

e-Stroke technology allows stroke specialists to access scans and images remotely and securely, meaning they can do their job efficiently while helping other hospitals deliver world-leading stroke care. This supports clinicians working in Integrated Stroke Care Networks (ISDNs), which bring together specialists from all parts of the stroke journey to ensure more people who experience stroke receive high-quality specialist care, from prehospital to early discharge with support. community specialist in stroke rehabilitation and life after stroke.

Brainomix e-Stroke is currently deployed at sites spanning 11 stroke networks across the country, five of which have been funded through the AI ​​in Health and Care award. This funding has supported the detection of more than 4,500 large vessel occlusions (LVO) in stroke patients. LVOs are one of the most time sensitive diagnoses in medicine and early diagnosis can lead to better patient outcomes.

Teaching assistant and grandmother Carol Wilson was just getting up to have a normal day when she suffered severe cramps and rapidly lost her sight and the use of her extremities in June 2021. She was rushed to the hospital where, with the help of the Brainomix tool, she e -Stroke, his consultant was able to quickly diagnose a blood clot in his brain and recommend a thrombectomy. Thanks to prompt diagnosis and access to treatment, Carol has now recovered and is back at work and can live her life as before the stroke.

Carol said:

This technology is just amazing. I was able to sit up and text my family later that day, and I was back home and able to walk two days after having a stroke.

I often think about how lucky I am to have made the recovery that I have, to be able to go back to work and spend time with my grandchildren, especially when you consider that not everyone who has a stroke has such a good outcome.

Riaz Rahman, VP Healthcare Global, Brainomix, said:

The Brainomix e-Stroke platform has quickly become the cornerstone of Integrated Stroke Management Networks (ISDN)’s ability to deliver best-in-class stroke care. We have collected multiple examples of robust evidence, spanning multiple networks, confirming that the use of e-Stroke helps deliver more consistent treatment decisions and faster patient transfers. This is of vital importance in a highly time-sensitive pathway.

Having successfully rolled out the system at a rate and scale across the NHS, we have seen in some regions the functional scores of post-operative patients treble and access to life-saving mechanical thrombectomy treatment more than double.

The £123 million AI in Health and Care Prize is run by the NIHR, the Accelerated Access Collaboration in NHS England and the NHS AI Lab, and supports accelerating testing and evaluation of cutting-edge technologies that have the potential to greater benefit to the patient and physician, improving patient outcomes and freeing up valuable physician time.

The award supports AI technologies in a variety of developments, from early feasibility to the point where they could be commissioned nationally.

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