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Found 64 results
  1. 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.
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    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
  4. 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
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    An algorithm which can predict how long a patient might spend in hospital if they’re diagnosed with bowel cancer could save the NHS millions of pounds and help patients feel better prepared. Experts from the University of Portsmouth and the Portsmouth Hospitals University NHS Trust have used artificial intelligence and data analytics to predict the length of hospital stay for bowel cancer patients, whether they will be readmitted after surgery, and their likelihood of death over a one or three-month period. The intelligent model will allow healthcare providers to design the best pat
  8. News Article
    New artificial intelligence software being rolled-out in NHS hospitals will be able to predict daily A&E admissions weeks in advance. The software, which launched in 100 hospitals across England on Monday, analyses data, including Covid infections rates, 111 calls and traffic to predict the number of patients that will seek emergency care. It also takes into consideration public holidays, such as New Year’s Eve, when A&E is more likely to be busy. The AI software is being rolled after trials showed an “impressive” ability to forecast admissions up to three weeks in advan
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    This article discusses eight human factors and ergonomics principles for healthcare AI, drawn from a white paper published by the Chartered Institute of Ergonomics and Human Factors: Situation awareness - Design options need to consider how AI can support, rather than erode, people’s situation awareness. Workload - The impact of AI on workload needs to be assessed because AI can both reduce as well as increase workload in certain situations. Automation bias - Strategies need to be considered to guard against people relying uncritically on the AI, for example, the use of exp
  12. News Article
    A Scottish hospital has become the first in the UK and one of the first in the world to pilot using artificial intelligence (AI) in its cervical cancer screening programme. University Hospital Monklands has increased capacity by around 25% and improved analysis turn-around times with the measure, which experts said could “revolutionise” the screening process. The system, from medical technology company Hologic, creates digital images of cervical smear slides from samples that have tested positive for Human Papilloma Virus (HPV). These are then reviewed using an advanced algorith
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    Medical students aided by an AI tutor outperformed peers taught remotely by human experts in a complicated surgical training procedure, new research reports. The Neurosurgical Simulation and Artificial Intelligence Learning Centre in Montreal, Canada, randomly assigned 70 students feedback and assistance from either a sophisticated AI system, a remote expert human instructor, or neither, while they removed virtual brain tumours using a neurosurgical simulator. The AI system, called the Virtual Operative Assistant (VOA), delivered personalised feedback to its students via a machine le
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
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  22. 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
  23. 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
  24. 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
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