artificial intelligence

Archive
1 May 2019

NHS needs to do more to inform public on AI benefits, report warns

To allay fears, the newly formed NHSX should work with charities and patient groups to better understand the public’s concerns
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20 March 2019

Fine line between AI becoming a buzzword and working in healthcare explored

The key to successful AI lies with good quality data and a change in culture, healthcare leaders said at an
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barts health
11 March 2019

AI research programme launched in London to develop use in healthcare

The the CAP-AI programme involves project teams from Barts Health NHS Trust and Queen Mary University of London supporting a
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21 February 2019

Ten principles of NHS AI code of conduct published

The principles, which tech companies are expected to follow, include understanding user need as well as being fair and transparent.
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21 February 2019

New AI is four times more accurate at predicting ovarian cancer deaths

The software examines four biological characteristics of tumours – structure, shape, size and genetic makeup – which influence a patient’s
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20 February 2019

Line ‘needs to be drawn’ to establish accountability in healthcare AI, report warns

Clinicians may find themselves incorrectly trusting decisions made by AI more than they trust their own, The Academy of Medical
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5 February 2019

Artificial intelligence ‘won’t solve all healthcare problems’, new report warns

AI in every day life is “in its infancy” and has a long way to go in the health and
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4 February 2019

Two NHS trusts sign agreements with Sensyne Health

George Eliot Hospital NHS Trust and Wye Valley NHS Trust in Hereford have both signed the agreement which gives Sensyne
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29 January 2019

Artificial intelligence system could cut critical chest x-rays assessment time

The artificial intelligence system can asses how severe a chest abnormality is and, therefore, how quickly a patient needs needs
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28 January 2019

British Heart Foundation funds AI to predict heart disease risk

A team at the University of Cambridge are developing a machine learning tool that helps predict people’s risk based on
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