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Found 51 results
  1. News Article
    A cervical cancer patient has been treated with the aid of artificial intelligence (AI) for the first time in the UK. Emma McCormick, 44, was treated at the St Luke's Cancer Centre in Guildford, Surrey. The Royal Surrey NHS Foundation Trust treated Ms McCormick, who is from West Sussex, using adaptive radiotherapy. The AI technology uses daily CT scans to target the specific areas that need radiotherapy. This helps to avoid damage to healthy tissue and limit side-effects, the hospital said. Patients are given treatments lasting between 20 and 25 minutes, although Ms Mc
  2. Content Article
    These reports comprise the final output from the digital health track of the UK’s G7 presidency. On 3 to 4 June 2021, health ministers from the G7 countries met in Oxford to agree commitments on health. Following this summit, the UK convened 2 technical working groups on digital health: Artificial intelligence (AI) governance. Interoperability. These working groups, which comprise officials from all G7 countries, have been meeting regularly since June to discuss how to take forward the digital health commitments agreed by ministers. The working groups have pr
  3. 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 d
  4. Content Article
    Session 1: A better workforce culture Watch the video of the conversation with Camilla Kingdon Watch the video of the conversation with Alex Gillsepie Video of the session 1 panel discussion Session 2: Supporting each other Watch the video of the conversation with Dhruv Parekh Watch the video of the conversation with Hena Syed-Sabir Video of the session 2 panel discussion Session 3: Inspiration and joy Watch the video of the conversation with Will Flanary Watch the video of the conversation with Frank Turner Video of the session 3 panel di
  5. News Article
    Researchers are to use artificial intelligence (AI) in the hope of reducing risk to pregnant black women. Loughborough University experts are to work with the Healthcare Safety Investigation Branch (HSIB) to identify patterns in its recent investigations. Research has suggested black women are more than four times more likely to die in pregnancy or childbirth than white women in the UK. The researchers plan to look at more than 600 of HSIB's recent investigations into adverse outcomes during pregnancy and birth. The research team will develop a machine learning system capab
  6. Content Article
  7. News Article
    Artificial intelligence (AI) systems being developed to diagnose skin cancer run the risk of being less accurate for people with dark skin, research suggests. The potential of AI has led to developments in healthcare, with some studies suggesting image recognition technology based on machine learning algorithms can classify skin cancers as successfully as human experts. NHS trusts have begun exploring AI to help dermatologists triage patients with skin lesions. But researchers say more needs to be done to ensure the technology benefits all patients, after finding that few freely avai
  8. Content Article
    This review examined 21 sets of data on skin lesions, including more than 100,000 images. The findings of the review highlighted that many of the datasets were missing important information, such as how images were chosen to be included and evidence of ethical approval or patient consent. 14 of 21 datasets gave information on which country they came from and, of those, nine contained images from European countries. The review notes that only a small percentage of images were accompanied by information about the patients’ skin colour or ethnicity. Among pictures where skin colour was
  9. Content Article
    The investigation: sought to understand the context and contributory factors influencing a delay in lung cancer diagnosis in a patient repeatedly attending primary care with non-specific symptoms. identified the systemic factors that help or hinder the detection of lung cancer on chest X-rays. considered the utility of chest X-ray to assess for lung cancer in symptomatic patients being seen in primary care. identified the implications of the findings for mitigating the risk of delayed diagnosis of lung cancer. Safety recommendations HSIB recommends that N
  10. Content Article
  11. 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 deplo
  12. Content Article
  13. Content Article
    Widespread use of this tool could reduce the spread of COVID-19 in hospitals and avoid delays to treatment for people who are not infected with the virus. These AI models could be used to screen for COVID-19 in hospitals to help guide care and stream patients. The vast majority of people arriving at hospital who are COVID-19-negative according to the models could then be treated while awaiting confirmation from the hospital laboratory. When the models suggest someone does have COVID-19, they could await test results and undergo treatment away from other patients. This approach uses
  14. News Article
    New research has emerged that may be able to diagnose dementia after a single brain scan. Scientists have begun testing a new artificial intelligence system that could identify the condition and predict predict whether it will remain stable for many years, slowly deteriorate or need immediate treatment. Prof Zoe Kourtzi, of Cambridge University and a fellow of national centre for AI and data science The Alan Turing Institute, said "If we intervene early, the treatments can kick in early and slow down the progression of the disease and at the same time avoid more damage". Rea
  15. Content Article
  16. News Article
    Artificial intelligence (AI) tools and deep learning models are a powerful tool in cancer treatment. They can be used to analyse digital images of tumour biopsy samples, helping doctors quickly classify the type of cancer, predict prognosis and guide a course of treatment for the patient. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions. A new study led by researchers from the University of Chicago shows that deep learning models trained on large sets of cancer genetic and tissue histology data can easily identify the insti
  17. Content Article
  18. 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
  19. Content Article
  20. 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
  21. 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.
  22. News Article
    Royal Cornwall Hospital has deployed an artificial intelligence (AI) tool that allows clinicians to view case videos safely and securely. Touch Surgery Enterprise enables automatic processing and viewing of surgical videos for clinicians and their teams without compromising sensitive patient data. These videos can be accessed via mobile app or web shortly after the operation to encourage self-reflection, peer review and improve preoperative preparation. James Clark, consultant upper gastrointestinal and bariatric surgeon at the trust, said: “Having seamless access to my surgical vide
  23. 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
  24. Content Article
  25. Content Article
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