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Dementia tour bus visits local hospital trust

Dementia tour bus visits local hospital trust
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United kingdomAlison mccullochRebecca goadsbyRichard mitchellHead of expenditure at northamptonshire health charityUniversity hospitals of northamptonshireNorthamptonshire health charityDementia action weekNorthampton general hospitalDementia tour busHealth charityDementia tour bus experienceNorthampton generalNorthamptonshire healthDementia bus experienceDementia liaison nurse

Celebrating hospital colleagues who have devoted their lives to serving you

Celebrating hospital colleagues who have devoted their lives to serving you
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United kingdomCaryn wakelinDarryll lutterJennifer hentonJulie jonesKaren robertsLr darryll lutterRichard mitchellJane ocallaghanChristopher westonPatrick craigScripps centreUniversity hospitals of leicesterUniversity hospitals of northamptonshireService coordinatorRecreation centre

AI Tool Accurately Forecasts Deadly Heart Rhythm

AI Tool Accurately Forecasts Deadly Heart Rhythm
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Xin liHolter ecgsJoseph barkerUniversity hospitals of leicesterDigital healthCare researchHeart rhythm society scholarshipLoughborough universityNational institute for healthUniversity of leicesterLeicester biomedical research centreGeest foundation awardSchool of engineeringHead of department cardiovascular sciencesUniversity hospitals of northamptonshireCardiac electrophysiology

AI tool predicts lethal heart rhythm with 80% accuracy

In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.

Joseph barkerHolter ecgsXin liGeest foundation awardHead of department cardiovascular sciencesCare researchUniversity hospitals of leicesterUniversity of leicesterDigital healthUniversity hospitals of northamptonshireSchool of engineeringLeicester biomedical research centreNational institute for healthLoughborough universityHeart rhythm society scholarshipCardiac electrophysiology

Artificial Intelligence tool successfully pre

<p>In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time. In a Leicester study that looked at whether artificial intelligence (AI) can be used to predict whether a person was at risk of a lethal heart rhythm, an AI tool correctly identified the condition 80 per cent of the time.</p>

United kingdomJoseph barkerJoanna jonesHolter ecgsXin liUniversity hospitals of northamptonshireUniversity hospitals of leicesterSchool of engineeringLeicester biomedical research centreClinical research facilityHeart rhythm society scholarshipCare researchDepartment of healthMethod of researchScience communicationsGeest foundation award