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UK’s AI stroke machine to cut treatment time by 60 mts

An artificial intelligence-powered machine can reduce the treatment time for stroke patients by 60 minutes and free up clinicians’ time.
An artificial intelligence-powered machine can reduce the treatment time for stroke patients by 60 minutes and free up clinicians’ time.

HQ Team

January 16, 2023: An artificial intelligence-powered machine can reduce the treatment time for stroke patients by 60 minutes and free up clinicians’ time.

Brainomix e-Stroke system has shortened door in and out time from 140 to 79 minutes, according to a statement from the Department of Health and Social Care, the UK.

The system tripled the number of stroke patients recovering with no or only slight disability, defined as achieving functional independence, from 16% to 48%.

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

Brainomix e-Stroke is currently installed at sites spanning 11 stroke networks across the country. Five of the 11 sites have been funded through the AI in Health and Care Award.

Vessel occlusions

The funding has supported the detection of over 4,500 large vessel occlusions in stroke patients. Occlusions are one of the most time-sensitive diagnoses in medicine, and early diagnosis can lead to better patient outcomes.

Occlusion is the blockage or closing of an opening, blood vessel, or hollow organ.

Government funding has enabled more than 111,000 suspected stroke patients to benefit from this groundbreaking system across five stroke networks in England. It cuts lifesaving time off, one of the most time-sensitive diagnoses in medicine.

“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,” NHS England Director of Transformation, Dr Timothy Ferris, said.

Remote access

The Barainomix e-Stroke system, developed in the UK uses AI algorithms to support doctors by providing real-time decision support in the interpretation of brain scans. 

This helps them to take informed decisions for stroke patients, allowing more patients to get the right treatment, in the right place, at the right time.

The e-Stroke technology allows stroke specialists to access scans and images remotely and securely, meaning they can do their job efficiently whilst supporting other hospitals to deliver world-leading stroke care. 

The technology supports clinicians working across integrated stroke delivery networks, bringing specialists from all stages of the stroke pathway.

The specialists ensure people who experience a stroke receive high-quality specialist care, from pre-hospital, through to early supported discharge, community specialist stroke-skilled rehabilitation and life after stroke, Ferris said.

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