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Wellcome-funded project exploring the changing authority of medical practices through four case studies: LGBTQ+ health, artificial intelligence, abortion care and the physician associate. The project is
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to determine the feasibility of designing and evaluating an artificial intelligence based computerised decision tool for falls risk assessment and prevention. This will be achieved through (1) developing a
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four case studies: LGBTQ+ health, artificial intelligence, abortion care and the physician associate. The project is underpinned by two theoretical pillars: the sociology of care and the philosophy
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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postgraduate-level research in Computer Science, Cybersecurity, Information Security, Information Technology, Artificial Intelligence, Machine Learning, or a related field, have experience with securing AI
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for the first time. This will allow us to work out the best vital-sign-based early warning score. It will also allow us to build an electronic maternal early warning score, harnessing the power of artificial
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Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor
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AI technologies for equitable healthcare, with a particular focus on AI-enabled oculomics - the use of retinal imaging and artificial intelligence to detect hidden indicators of systemic health
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by eye. Combined with artificial intelligence (AI) approaches we can help diagnose tumours when first identified on a scan. For 20 years through the Imaging of Tumours Study, we have collected a world