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More patients are getting the right treatment in the right place more quickly leading to better outcomes following a stroke thanks to a four-year collaborative programme led by Health Innovation Oxford and Thames Valley (Oxford HIN) supporting the deployment of artificial intelligence (AI) in stroke diagnosis. This approach has led to an increase in the number of stroke patients treated with mechanical thrombectomy (MT), a life-changing but time-critical intervention which reduces long-term disability following a stroke by reopening a blocked blood vessel in the brain. New image analysis technology enables high quality CT brain scans to be shared quickly and securely within and between hospitals using imaging software incorporating AI to support clinical decision-making. Working with the NHS England stroke teams and regional stroke networks, the Oxford HIN carried out the largest real world evaluation to date of AI in the NHS, focused on the impact of rolling out the Brainomix 360 Stroke AI tool. The evaluation, funded by the NHS Artificial Intelligence in Health and Care Award, found that the treatment time was 50 minutes quicker and patients were 70% more likely to receive MT when AI was used to assist clinical decision-making. Here Dr Kiruba Nagaratnam, the programme's clinical champion, discusses its approach and achievements with Dr Eleanor Wicks, a consultant cardiologist. Read more about the stroke AI project here: https://www.healthinnovationoxford.or...