Navenio, the UK company that has pioneered indoor location-based artificial intelligence to revolutionise workflows and can double the throughput of hospital teams, has been successful in securing funding in the latest round of the Artificial Intelligence in Health and Care Award. Navenio was one of 38 organisations to receive the funding in the second round of the competition, with the AI Award making £140 million available to multiple applicants over four years to accelerate the testing and evaluation of artificial intelligence technologies which meet the aims set out in the NHS Long Term Plan. Through world-leading University of Oxford research, Navenio creates unique indoor location-based services, solving the problem that GPS doesn't work indoors without requiring any new infrastructure. The Award's aim is to increase the impact of AI-driven technologies to help solve clinical and operational challenges across the NHS and care settings. It aligns perfectly with Navenio's mission to help transform hospitals through ensuring the right person is in the right place, at the right time.
An increasing number of studies on artificial intelligence (AI) are published in the dental and oral sciences but aspects of these studies suffer from a range of limitations. Standards towards reporting, like the recently published CONSORT-AI extension, can help to improve studies in this emerging field. Watch authors Falk Schwendicke and Joachim Krois of the Charité - Universitätsmedizin Berlin, Germany, discuss the Journal of Dental Research (JDR) article "Better Reporting of Studies on Artificial Intelligence: CONSORT-AI and Beyond," moderated by JDR Editor-in-Chief Nicholas Jakubovics, Newcastle University, England. For AI studies in healthcare, only a limited number of randomized controlled trials are available, many studies are low quality and reporting is often insufficient to fully comprehend and possibly replicate these studies. Reporting standards such as the CONSORT (Consolidated Standards of Reporting Trials) statement, which provides evidence-based recommendations for reporting of randomized controlled trials, have been widely adopted by journals and have been shown to increase reporting quality.
In spite of the debates and partisan politics that we can't seem to avoid no matter where we turn, everybody in the United States and the world genuinely wants the same thing: to return to our normal lives and avoid individual and global-scale financial crises without contracting or spreading COVID-19. But until a herd immunity is reached, which seems unlikely with the rate of current inoculation, we are faced with a seemingly unsolvable challenge in knowing exactly how to keep the recent variants from spreading while not hurting communities by shutting down schools, businesses, and cities unnecessarily. Who can we listen to? How do we know what is ok, and what types of activities are ok and what should be avoided? Countries such as England, Germany, Ireland, Israel, Italy, Belgium and Lebanon are extending national lockdowns.
"Seagulls," said Andy Stanford-Clark, excitedly. In fact, you can totally ignore them." Stanford-Clark, the chief technology officer for IBM in the U.K. and Ireland, was exuding nervous energy. It was the afternoon before the morning when, at 4 a.m. British Summer Time, IBM's Mayflower Autonomous Ship -- a crewless, fully autonomous trimaran piloted entirely by IBM's A.I., and built by non-profit ocean research company ProMare -- was set to commence its voyage from Plymouth, England. to Cape Cod, Massachusetts. And now, after countless tests and hundreds of thousands of hours of simulation training, it was about to set sail for real. Stanford-Clark was running through the potential risks. Seagulls, he pointed out, were something of a false alarm. From an image-recognition perspective, they were a challenge because they had a tendency of getting right up in the camera lens so that they looked like enormous winged obstacles that needed to be avoided at all costs. But they had a tendency ...
The Department of Health and Social Care has announced a £36 million increase in funding for AI technology-based healthcare services and products. Sir Simon Stevens, Chief Executive of NHS England, said: "Through our NHS AI Lab we're now backing a new generation of groundbreaking but practical solutions to some of the biggest challenges in healthcare. Precision cancer diagnosis, accurate surgery, and new ways of offering mental health support are just a few of the promising real-world patient benefits. Because as the NHS comes through the pandemic, rather than a return to old ways, we're supercharging a more innovative future." "So today our message to developers worldwide is clear – the NHS is ready to help you test your innovations and ensure our patients are among the first in the world to benefit from new AI technologies."
The Mayflower had a few false starts before its trailblazing sea voyage to America more than 400 years ago. Now, its artificial intelligence-powered namesake is having some glitches of its own. A sleek robotic trimaran retracing the 1620 journey of the famous English vessel had to turn back Friday to fix a mechanical problem. Nonprofit marine research organization ProMare, which worked with IBM to build the autonomous ship, said it made the decision to return to base "to investigate and fix a minor mechanical issue" but hopes to be back on the trans-Atlantic journey as soon as possible. With no humans on board the ship, there's no one to make repairs while it's at sea.
The NHS is set to receive a £36m injection to bolster its AI capabilities across 38 new projects designed to make diagnoses faster. While the NHS has been handling the Covid-19 pandemic, concerns over a diagnoses backlog have emerged, with people more hesitant to go to the GP or hospital for check-ups. The new technology will help detect cancers and provide mental health support and form part of the NHS AI Lab's £140m AI in Health and Care award money pot – which will be dished out over three years. Chief executive of NHS England, Simon Stevens, said: "As the NHS comes through the pandemic, rather than a return to old ways, we're supercharging a more innovative future. "So today our message to developers worldwide is clear – the NHS is ready to help you test your innovations and ensure our patients are among the first in the world to benefit from new AI technologies."
Ironically, the delays holding back the modern-day Mayflower also took place with the original Mayflower from centuries ago. While pilgrims in the 17th century didn't need to worry about autonomous features working, they did have to turn back to England after a leaking problem affected its sister ship, the Speedwell, according to the Associated Press.
IBM's fully-autonomous edge AI-powered ship Mayflower has set off on its crewless voyage from Plymouth, UK to Plymouth, USA. The ship is named after the Mayflower vessel which transported pilgrim settlers from Plymouth, England to Plymouth, Massachusetts in 1620. On its 400th anniversary, it was decided that a Mayflower for the 21st century should be built. Mayflower 2.0 is a truly modern vessel packed with the latest technological advancements. Onboard edge AI computing enables the ship to carry out scientific research while navigating the harsh environment of the ocean--often without any connectivity.