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Found 78 results
  1. 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 exp
  2. 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
  3. 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
  4. 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
  5. 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?
  6. 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 coul
  7. News Article
    The NHS is to use artificial intelligence to detect, screen and treat people at risk of hepatitis C under plans to eradicate the disease by 2030. Hepatitis C often does not have any noticeable symptoms until the liver has been severely damaged, which means thousands of people are living with the infection – known as the silent killer – without realising it. Left untreated, it can cause life-threatening damage to the liver over years. But with modern treatments now available, it is possible to cure the infection. Now health chiefs are launching a hi-tech screening programme in En
  8. News Article
    County Durham and Darlington NHS Foundation Trust has created and implemented an artificial intelligence (AI) model to protect patients from acute kidney injury (AKI). The trust’s AI-driven model helps healthcare staff to identify patients who are at risk from AKI and to swiftly respond with treatment. The technology uses risk stratification digital tools that staff are able to access through an app. These are combined with care processes developed at the trust and which involve a new specialist nurse team, preventive specialist intervention, assessment and follow-up. Its implementat
  9. News Article
    Artificial intelligence (AI) could lead to UK health services that disadvantage women and ethnic minorities, scientists are warning. They are calling for biases in the systems to be rooted out before their use becomes commonplace in the NHS. They fear that without that preparation AI could dramatically deepen existing health inequalities in our society. A new study has found that AI models built to identify people at high risk of liver disease from blood tests are twice as likely to miss disease in women as in men. The researchers examined the state of the art approach to A
  10. News Article
    Health trackers worn on the wrist could be used to spot Covid-19 days before any symptoms appear, according to researchers. Growing numbers of people worldwide use the devices to monitor changes in skin temperature, heart and breathing rates. Now a new study shows that this data could be combined with artificial intelligence (AI) to diagnose Covid-19 even before the first tell-tale signs of the disease appear. “Wearable sensor technology can enable Covid-19 detection during the presymptomatic period,” the researchers concluded. The findings were published in the journal BMJ Open.
  11. News Article
    Virtual wards, at-home antibiotic kits and using artificial intelligence in GP surgeries are among new initiatives to be trialled as part £160m funding to tackle waiting lists in the NHS. NHS England announced the funding to aid in the health service’s recovery after the pandemic, after figures last month revealed the number of people waiting to begin hospital treatment in England had risen to a new record. A total of 4.7 million people were waiting to start treatment at the end of February - the highest figure since records began in August 2007. But NHS England said indicators sugge
  12. News Article
    East Kent Hospitals University NHS Foundation Trust has adopted artificial intelligence (AI) to test the health of patient’s eyes. In collaboration with doctors at the trust, the University of Kent has developed AI computer software able to detect signs of eye disease. Patients will benefit from a machine-based method that compares new images of the eye with previous patient images to monitor clinical signs and notify the doctor if their condition has worsened. Nishal Patel, an Ophthalmology Consultant at the Trust and teacher at the University said: “We are seeing more and more peop
  13. News Article
    Google has unveiled a tool that uses artificial intelligence to help spot skin, hair and nail conditions, based on images uploaded by patients. A trial of the "dermatology assist tool", unveiled at the tech giant's annual developer conference, Google IO, should launch later this year, it said. The app has been awarded a CE mark for use as a medical tool in Europe. A cancer expert said AI advances could enable doctors to provide more tailored treatment to patients. The AI can recognise 288 skin conditions but is not designed to be a substitute for medical diagnosis and treat
  14. News Article
    Artificial intelligence is more accurate than doctors in diagnosing breast cancer from mammograms, a study in the journal Nature suggests. An international team, including researchers from Google Health and Imperial College London, designed and trained a computer model on X-ray images from nearly 29,000 women. The algorithm outperformed six radiologists in reading mammograms. AI was still as good as two doctors working together. Unlike humans, AI is tireless. Experts say it could improve detection. Sara Hiom, director of cancer intelligence and early diagnosis at Cancer Res
  15. News Article
    MedAware, a developer of AI-based patient safety solutions, has announced the publication of a study by The Joint Commission Journal on Quality and Patient Safety, validating both the significant clinical impact and anticipated ROI of MedAware's machine learning-enabled clinical decision support platform designed to prevent medication-related errors and risks. The study analysed MedAware's clinical relevance and accuracy and estimated the platform's direct cost savings for adverse events potentially prevented in Massachusetts General and Brigham and Women's Hospitals' outpatient clinics.
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