King’s College Hospital to use AI for diagnostics and treatment plans
King’s College Hospital NHS Foundation Trust is using an artificial intelligence tool to speed up stroke diagnosis and improve patient care.
AI and Analytics
New £1.4m AI funding aims to reduce racial health inequalities
The funding, from the NHSX AI Lab and Health Foundation, aims to ensure healthcare solutions don’t “exacerbate existing health inequalities”.
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New AI tool prescribes best treatment for liver cancer
King’s College Hospital and Queen Mary University of London have developed an AI algorithm to classify drugs on their efficiacy in treating liver cancer.
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Birmingham and Solihull deploy AI dementia detection tool
The Integrated Cognitive Assessment will be deployed across primary and secondary care services in Birmingham, operating out of more than 40 sites.
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National Data Guardian calls for ‘commitment to transparency’
Dr Nicola Byrne said people need to trust they can share their data with confidence without concern their data may be used in “unexpected ways”.
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University of Oxford establishes institute for data science
The Data Institute will bring together academics from a range of disciplines including policy experts, statisticians, software engineers and clinicians.
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GPs in the South West turn to robots to access Dorset Care Record
GPs in the region are being given click through access to the Dorset Care Record using robotic process automation (RPA) or artificial intelligence (AI).
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Health Data Research UK launches £2m fund for Covid research
Health Data Research UK has launched a £2m fund to better understand Covid-19 through data and advanced analytics, as part of the National Core Studies.
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Yorkshire and Humber trusts sign deal with TytoCare
Following a successful pilot with Bradford Teaching Hospitals, TytoCare is expanding its NHS partnership to include 14 trusts within Yorkshire and Humber.
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AI trial for prostate cancer expanded across five hospitals
They will be trialling Ibex Medical Analytics AI technology which aims to reduce diagnostic errors by using clinical-grade solutions to detect cancer.
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