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Found 85 results
  1. News Article
    Artificial intelligence could help NHS surgeons perform 300 more transplant operations every year, according to British researchers who have designed a new tool to boost the quality of donor organs. Currently, medical staff must rely on their own assessments of whether an organ may be suitable for transplanting into a patient. It means some organs are picked that ultimately do not prove successful, while others that might be useful can be disregarded. Now experts have developed a pioneering method that uses AI to effectively score potential organs by comparing them to images of tens of thousands of other organs used in transplant operations. The project is being backed by NHS Blood and Transplant (NHSBT), which has almost 7,000 people in the UK on its waiting list for a transplant. “We at NHSBT are extremely committed to making this exciting venture a success,” said Prof Derek Manas, the organ donation and transplantation medical director of NHSBT. “This is an exciting development in technological infrastructure that, once validated, will enable surgeons and transplant clinicians to make more informed decisions about organ usage and help to close the gap between those patients waiting for and those receiving lifesaving organs.” Read full story Source: The Guardian, 1 March 2023
  2. News Article
    The adoption of AI tools to simplify processes and workflows is slowly occurring across all industries, including healthcare — though patients largely disagree with clinicians using those tools when providing care, the Pew Research Center survey found. The potential for AI tools to diminish personal connections between patients and providers is a key concern, according to the survey, which included responses from over 11,000 adults in the USA collected in December. Patients also fear their health records could become less secure. Respondents, however, acknowledged potential benefits, including that AI could reduce the number of mistakes providers make. They also expressed optimism about AI’s potential impact on racial and ethnic biases in healthcare settings, even as the technology has been criticised for exacerbating those issues. Among respondents who believe racial biases are an issue in healthcare, about half said they think the tools would reduce the problem, while 15% said it would make it worse and about 30% said it would stay the same. Read full story Source: Healthcare Dive, 23 February 2023
  3. News Article
    The chairman of Covid vaccine giant AstraZeneca has said that investment in technology can help the NHS cut costs. Leif Johansson said more spending on areas such as artificial intelligence and screening could prevent illness and stop people going to hospital. The NHS is under severe pressure, with A&E waits at record levels and strike action exacerbating ambulance delays. Mr Johansson said about 97% of healthcare costs come from "when people present at the hospital". He said only the remaining 3% is made up of spending on vaccination, early detection or screening. Mr Johansson told the BBC at the World Economic Forum in Davos: "If we can get into an investment mode in health for screening or prevention or early diagnostics on health and see that as an investment to reduce the cost of sickness then I think we have a much better model over time that would serve us well." Commenting on the UK, he said: "All countries have different systems and the NHS is one which we have learned to live with and I think the Brits, in general, are quite appreciative about it." He said he was not talking about "breaking any healthcare systems down". Rather, he said, "we should embrace technology and science". Read full story Source: BBC News, 23 January 2023
  4. News Article
    Technology that accurately predicts when patients will be ready to leave hospital upon their arrival in A&E is being introduced to solve the NHS bed-blocking crisis. The artificial intelligence (AI) software analyses data including age, medical conditions and previous hospital stays to estimate how long a patient will need to remain. Hospital managers can then alert social care services in advance about the date when patients are expected to be discharged, allowing care home beds or community care packages to be prepared. Nurses said the technology had “revolutionised” their ability to discharge patients on time, meaning people who would otherwise have been stuck in hospital had got home for Christmas. The new technology, developed by the British AI company Faculty, is being tested at four NHS hospitals in Wales belonging to the Hywel Dda health board. Analysis suggests that the tool will save NHS trusts 3,000 bed days and £1.4 million a year by speeding up discharges, which in turn frees beds for elective procedures such as hip replacements. Read full story (paywalled) Source: The Times, 26 December 2022
  5. News Article
    Voices offer lots of information. Turns out, they can even help diagnose an illness — and researchers in the USA are working on an app for that. The National Institutes of Health is funding a massive research project to collect voice data and develop an AI that could diagnose people based on their speech. Everything from your vocal cord vibrations to breathing patterns when you speak offers potential information about your health, says laryngologist Dr. Yael Bensoussan, the director of the University of South Florida's Health Voice Center and a leader on the study. "We asked experts: Well, if you close your eyes when a patient comes in, just by listening to their voice, can you have an idea of the diagnosis they have?" Bensoussan says. "And that's where we got all our information." Someone who speaks low and slowly might have Parkinson's disease. Slurring is a sign of a stroke. Scientists could even diagnose depression or cancer. The team will start by collecting the voices of people with conditions in five areas: neurological disorders, voice disorders, mood disorders, respiratory disorders and pediatric disorders like autism and speech delays. This isn't the first time researchers have used AI to study human voices, but it's the first time data will be collected on this level — the project is a collaboration between USF, Cornell and 10 other institutions. The ultimate goal is an app that could help bridge access to rural or underserved communities, by helping general practitioners refer patients to specialists. Long term, iPhones or Alexa could detect changes in your voice, such as a cough, and advise you to seek medical attention. Read full story Source: NPR, 10 October 2022
  6. News Article
    A new report published by the NHS AI Lab and Health Education England (HEE) has advocated for training and education for providers in how they deliver and develop AI guidance for staff. The report, entitled ‘Developing healthcare workers’ confidence in AI (Part 2)’, is the second of two reports in relation to this research and follows the 2019 Topol Review recommendation to develop a healthcare workforce “able and willing” to use AI and robotics. It is also part of HEE’s Digital, AI and Robotics Technologies in Education (DART-ED) programme, which aims to understand the impact of advances of these technologies on the workforce’s education and training requirements. In the previous report, the AI Lab and HEE found that many clinicians and staff were unaccustomed to the use of AI technologies, and without the suitable training patients would not be able to experience and share the advantages. The new report has set out recommendations for education and training providers in England to support them in planning, resourcing, developing and delivering new training packages in this area. It notes that specialist training will also be required depending on roles and responsibilities such as involvement in implementation, procurement or using AI in clinical practice. Brhmie Balaram, Head of AI Research and Ethics at the NHS AI Lab, added: “This important new research will support those organisations that train our health and care workers to develop their curriculums to ensure staff of the future receive the training in AI they will need. This project is only one in a series at the NHS AI Lab to help ensure the workforce and local NHS organisations are ready for the further spread of AI technologies that have been found to be safe, ethical and effective.” Read full story Source: Health Tech Newspaper, 25 October 2022
  7. Content Article
    The research follows the Topol Review (2019) recommendation to develop a healthcare workforce able and willing to use AI and robotics, and is part of Health Education England’s Digital, AI and Robotics Technologies in Education (DART-Ed) programme to understand the impact of advances of these technologies on the workforce’s education and training requirements. Supporting healthcare workers to feel confident in identifying when and how to use AI is a main objective of the NHS AI Lab, and a key component of its vision for the safe, effective, and ethical adoption of AI technologies across health and care. This is the second of two reports in relation to this research. The first report outlined a conceptual framework for understanding what influences confidence in AI among healthcare workers. This second report: identifies archetypes within the workforce based on AI-related roles and responsibilities determines educational and training needs based on these archetypes and the findings and conceptual framework of the first report presents suggested pathways to develop related education and training offerings.
  8. Content Article
    This research, which comprises two reports, is a collaboration between the NHS AI Lab and Health Education England. Its primary aim is to explore the factors influencing healthcare workers’ confidence in artificial intelligence (AI) technologies and how these can inform the development of related education and training. The research follows the Topol Review (2019) recommendation to develop a healthcare workforce able and willing to use AI and robotics, and is part of Health Education England’s Digital, AI and Robotics Technologies in Education (DART-Ed) programme to understand the impact of advances of these technologies on education and training requirements. Supporting healthcare workers to feel confident in identifying when and how to use AI is a main objective of the NHS AI Lab, and a key component of its vision for the safe, effective, and ethical adoption of AI technologies across health and care. This first report outlines a conceptual framework for understanding what influences confidence in AI among healthcare workers. The second report will determine educational and training needs based on the findings and conceptual framework of this report, and present pathways to develop related education and training offerings.
  9. Content Article
    The book addresses such questions as: What influence will ageing and lack of digital skills in the workforce of the occidental world have on safety culture? What are the likely impacts of big data, artificial intelligence and autonomous technologies on decision-making, and on the roles and responsibilities of individual actors and whole organizations? What role have human beings in a world of accelerating changes? What effects will societal concerns and the entrance of new players have on technological risk management and governance?
  10. News Article
    An artificial intelligence (AI) tool that scans eyes can accurately predict a person’s risk of heart disease in less than a minute, researchers say. The breakthrough could enable ophthalmologists and other health workers to carry out cardiovascular screening on the high street using a camera – without the need for blood tests or blood pressure checks – according to the world’s largest study of its kind. Researchers found AI-enabled imaging of the retina’s veins and arteries can specify the risk of cardiovascular disease, cardiovascular death and stroke. They say the results could open the door to a highly effective, non-invasive test becoming available for people at medium to high risk of heart disease that does not have to be done in a clinic. “This AI tool could let someone know in 60 seconds or less their level of risk,” the lead author of the study, Prof Alicja Rudnicka, told the Guardian. If someone learned their risk was higher than expected, they could be prescribed statins or offered another intervention, she said. Speaking from a health conference in Copenhagen, Rudnicka, a professor of statistical epidemiology at St George’s, University of London, added: “It could end up improving cardiovascular health and save lives.” Read full story Source: The Guardian, 4 October 2022
  11. Event
    This webinar chaired by Dr Jennifer Dixon, Chief Executive of The Health Foundation and featuring Dr Tim Ferris, NHS England’s Director of Transformation, will explore the next steps for service transformation at scale. Against the backdrop of the recent Wade-Gery review, the data strategy, the forthcoming Goldacre review and AI strategy, the new tech fund to support elective recovery, and a renewed focus on delivering the tech ambitions outlined in the Long Term Plan, how can these be linked to support service transformation better in practice? What will be different this time? Register
  12. Event
    This Westminster Health Forum conference will examine the priorities and next steps for utilising AI-driven technologies within health and social care. Delegates will consider the opportunities for increased use, what is needed to tackle barriers to implementation, data protection, questions of ethics and bias, wider regulatory challenges, and priorities for research. It will be a timely opportunity to consider next steps for harnessing AI-based healthcare solutions to deliver streamlined and effective care following developments made during the pandemic - and in the context of the development of an AI Strategy for Health and Social Care. Overall, the agenda will bring out latest thinking on: priorities for the development of a national AI Strategy for Health and Social Care addressing the key ethical and legal issues in the development of AI-based health solutions key issues surrounding data security and sharing, priorities for ensuring patient anonymity, data confidentiality and providing transparency around data use the future for research and innovation in the development of AI-driven technologies priorities for workforce education and training around AI health solutions addressing barriers to the use of AI in healthcare, developing digital infrastructure across the health service, and improving the diversity of clinical research data. Register
  13. Community Post
    Subject: Looking for Clinical Champions (Patient Safety Managers, Risk Managers, Nurses, Frontline clinical staff) to join AI startup Hello colleagues, I am Yesh. I am the founder and CEO of Scalpel. <www.scalpel.ai> We are on a mission to make surgery safer and more efficient with ZERO preventable incidents across the globe. We are building an AI (artificially intelligent) assistant for surgical teams so that they can perform safer and more efficient operations. (I know AI is vaguely used everywhere these days, to be very specific, we use a sensor fusion approach and deploy Computer Vision, Natural Language Processing and Data Analytics in the operating room to address preventable patient safety incidents in surgery.) We have been working for multiple NHS trusts including Leeds, Birmingham and Glasgow for the past two years. For a successful adoption of our technology into the wider healthcare ecosystem, we are looking for champion clinicians who have a deeper understanding of the pitfalls in the current surgical safety protocols, innovation process in healthcare and would like to make a true difference with cutting edge technology. You will be part of a collaborative and growing team of engineers and data scientists based in our central London office. This role is an opportunity for you to collaborate in making a difference in billions of lives that lack access to safe surgery. Please contact me for further details. Thank you Yesh yesh@scalpel.ai
  14. Community Post
    Artificial Intelligence is creating a lot of buzz in the US and around the world. This perspective from the US site AHRQ Patient Safety Net explores a range of issues that could affect the uptake artificial intelligence systems in health care. What do hub members think? Are we destined to encounter Hal (from 2001: a Space Odyssey) or Samantha (from Her)? Emerging safety issues in artificial intelligence