When we strive for patient safety, we aim for the absence of preventable harm to a patient in the provision of care and a reduction in the risk of unnecessary harm associated with healthcare. From better training to improvements in workplace culture, there are countless ways to curb harm and the risk of adverse care events, but undoubtedly one of the most promising is the increasing use of digital technologies. This webinar will feature presentations from experts in the fields of patient safety and artificial intelligence (AI). To begin, Professor Johanna Westbrook will speak on her research on electronic medications management (eMM) systems in Australian hospitals. Specifically, she will discuss her findings from an innovative stepped-wedge trial designed to determine whether medication error rates significantly declined following implementation of an eMM system in a tertiary paediatric hospital. From there, Associate Professor Shlomo Berkovsky will discuss his work on the use of AI for categorising frail elderly patients.
AI innovations that spring from universities are often driven by societal benefit rather than a profit motive. This year's WE Innovate finalist, postgraduate Charlotte McIntyre, is developing a machine learning technique to predict the likelihood of a patient developing thyroid cancer, by analysing ultrasound scans, needle biopsies and medical history at great speed and accuracy. Of course, the machines have great limitations, but human-AI collaborations can greatly enhance healthcare outcomes.
An international team of scientists from Eindhoven University of Technology, University of Texas at Austin, and University of Derby, has developed a revolutionary method that quadratically accelerates artificial intelligence (AI) training algorithms. This gives full AI capability to inexpensive computers, and would make it possible in one to two years for supercomputers to utilize Artificial Neural Networks that quadratically exceed the possibilities of today's artificial neural networks. The scientists presented their method on June 19 in the journal Nature Communications. Artificial Neural Networks (or ANN) are at the very heart of the AI revolution that is shaping every aspect of society and technology. But the ANNs that we have been able to handle so far are nowhere near solving very complex problems.
CAMBRIDGE: Professor Stephen Hawking on Wednesday (Oct 19) opened a new artificial intelligence research centre at Britain's Cambridge University. Funded by a 10 million (US 12.3 million) grant from the Leverhulme Trust, the centre's express aim is to ensure AI is used to benefit Read More ... Tags: Computer systems Computer Software Higher Education Universities Artificial intelligence Artificial Intelligence Software Best Universities Cambridge University Places: Oceania Australasia Zealandia New Zealand Singapore Europe Northwest United Kingdom England East Cambridgeshire Cambridge North Waikato Cambridge Cambridge (United Kingdom) (AFP) - Professor Stephen Hawking on Wednesday opened a new artificial intelligence research centre at Britain's Cambridge University. Funded by a Â 10 million (11.2 million-euro, 12.3-million) grant from the Leverhulme Trust, the centre's express aim is to ensure AI is Read More ... Tags: Computer systems Computer Software Higher Education Universities Artificial intelligence Artificial Intelligence Software Best Universities Cambridge University Places: Oceania Australasia Zealandia New Zealand Americas North America United States Europe Northwest United Kingdom England East Cambridgeshire Cambridge North Waikato Cambridge Cambridge University Football Club has been recognised in the Football Hall of Fame for its role in developing the game's official rules. The club, formed in 1856, created a set of 10 laws known as "Cambridge Rules". These helped formalise the game and "elements" of them appear in the Football Association (FA) rules drawn up in 1863, the FA said.
Standard touchscreen interfaces need an algorithmic makeover to improve accessibility for those with physical and mental impairments, new research suggests. And a team of researchers from Kochi University of Technology, Japan, and Aalto University, Finland, have thrown down the gauntlet to designers to tap into the new artificial intelligence (AI) inspired model they have developed to offer solutions to the limitations a'one size fits all' interface creates. The model is designed to enable people with challenges like dyslexia, Alzheimer's, or tremors, effectively interact with their technology. And in a demonstration the AI model was used to'simulate a user with essential tremor' – which found that the Qwerty keyboard on the smartphone wasn't fit for purpose. "After this prediction, we connected the text entry model to an optimizer, which iterates through thousands of different user interface designs.