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Found 28 results
  1. 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
  2. News Article
    Talking Medicines, a social intelligence company for the pharmaceutical industry, has secured £1.1 million funding deal to scale up its AI-based platform for measuring patient sentiment. Tern, an investment company specialising in the Internet of Things (“IoT”), is the lead investor in a syndicated funding round alongside The Scottish Investment Bank, Scottish Enterprise’s investment arm. Led by CEO Jo Halliday alongside co-founders Dr Elizabeth Fairley and Dr Scott Crae, Talking Medicines will use the funds to support the launch and roll-out of a new AI data platform, which will tra
  3. Event
    until
    NCRI Virtual Showcase will feature a number of topical sessions, panel discussions and proffered paper presentations covering the latest discoveries across: Big data and AI Prevention and early detection Immunology and immunotherapy Living with and beyond cancer Cancer research and COVID-19 Further information and registration
  4. Content Article
    A significant backlog of elective surgical cases has built up during the COVID-19 crisis. The freeze on elective surgery has produced a waiting list that may take years to clear. In the US, the CDC has issued guidelines that "facilities should establish a prioritization policy committee consisting of surgery, anesthesia and nursing leadership to develop a prioritization strategy appropriate to the immediate patient needs". According to the CDC, this committee should work around 'objective priority scoring'. The MeNTS (Medically-Necessary, Time-Sensitive Procedures) instrument is a
  5. 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
  6. 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.
  7. 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
  8. 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
  9. News Article
    Technology and healthcare companies are racing to roll out new tools to test for and eventually treat the coronavirus epidemic spreading around the world. But one sector that is holding back are the makers of artificial-intelligence-enabled diagnostic tools, increasingly championed by companies, healthcare systems and governments as a substitute for routine doctor-office visits. In theory, such tools, sometimes called “symptom checkers” or healthcare bots,sound like an obvious short-term fix: they could be used to help assess whether someone has Covid-19, the illness caused by the novel c
  10. Content Article
    The use of artificial intelligence (AI) in patient care can offer significant benefits. However, there is a lack of independent evaluation considering AI in use. This paper from Sujan et al., published in BMJ Health & Care Informatics, argues that consideration should be given to how AI will be incorporated into clinical processes and services. Human factors challenges that are likely to arise at this level include cognitive aspects (automation bias and human performance), handover and communication between clinicians and AI systems, situation awareness and the impact on the interaction wi
  11. Content Article
    This report covers research that has been conducted by NHSX and a great number of partners across the digital health ecosystem into: What AI is and where it's being used. How to govern AI. How to protect patient safety. How to support the workforce. How to encourage adoption and spread. The results of this research ultimately lead us to the conclusion that the creation of the Lab will be essential if we are to capitalise on the opportunities identified, whilst mitigating the risks.
  12. News Article
    Artificial intelligence can diagnose brain tumours more accurately than a pathologist in a tenth of the time, a study has shown. The machine-learning technology was marginally more accurate than a traditional diagnosis made by a pathologist, by just 1%, but the results were available in less than 2 minutes and 30 seconds, compared with 20 to 30 minutes by a pathologist. The study, published in Nature Medicine, demonstrates the speed and accuracy of AI diagnosis for brain surgery, allowing surgeons to detect and remove otherwise undetectable tumour tissue. Daniel Orringer, an Ass
  13. 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
  14. News Article
    In his latest blog post, Matthew Gould, CEO of NHSX, has reiterated the potential AI has to reduce the burden on the NHS by improving patient outcomes and increasing productivity. However, he said there are gaps in the rules that govern the use of AI and a lack of clarity on both standards and roles. These gaps mean there is a risk of using AI that is unsafe and that NHS organisations will delay employing AI until all the regulatory gaps have been filled. Gould says, “The benefits will be huge if we can find the sweet spot” that allows trust to be maintained whilst creating the freedom fo
  15. News Article
    In a keynote speech at the Healthtech Alliance on Tuesday, Secretary of State for Health and Social Care, Matt Hancock, stressed how important adopting technology in healthcare is and why he believes that it is vital for the NHS to move into the digital era. “Today I want to set out the future for technology in the NHS and why the techno-pessimists are wrong. Because for any organisation to be the best it possibly can be, rejecting the best possible technology is a mistake.” Listing examples from endless paperwork to old systems resulting in wasted blood samples, Hancock highlights
  16. Content Article
    CARS estimates the risk of death following emergency admission to medical wards using routinely collected vital signs and blood test data. The aim of the study was to elicit the views of: Healthcare practitioners (staff) and service users and carers on the potential value, unintended consequences and concerns associated with CARS. Practitioner views on the issues to consider before embedding CARS into routine practice.
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