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Found 41 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
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    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
  4. 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
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    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
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    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
  10. 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
  11. Content Article
    Professor Mike Bewick, England’s former national deputy medical director and board member of C2-Ai, Helen Hughes and Clive Flashman, Patient Safety Learning, and Richard Jones, chief strategy officer, C2-Ai, discuss the following top ten digital priorities in this Digital Health article: Strengthen digital literacy. Automation. Investment. Better access to centrally sourced and patient-generated data. Adopt patient safety standards and embed these into new technologies, especially AI. Build safety more strongly into the user experience. Patient safety
  12. Content Article
    1. Regulating adaptive AI algorithms Where an AI tool quickly adapts to reflect its environment and the context in which it operates, the AI may “reinforce those harmful biases such as discriminating based on one’s ethnicity and/or gender”. These will further exacerbate existing health inequalities and place certain patients at a disadvantage. It is important that the ground rules for these AI tools include firm parameters that seek to prioritise patient safety. A bit like Asimov’s Zeroth Law, ”a robot may not harm humanity, or, by inaction, allow humanity to come to harm”. 2. Hackin
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    AI mainly refers to doctors and hospitals analysing vast data sets of potentially life-saving information through AI algorithms. However, in primary care it has been getting an increasingly important role in standardising triaging, creating intelligent patient pathways and supporting prioritisation and decision making with urgency indications and differential diagnoses. In this webinar, we will provide an overview of applications of AI in improving patient flow and patient transfer within healthcare settings. Learn how organisations are achieving real results with AI supported tria
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    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
  17. 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.
  18. 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
  19. 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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    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
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  24. 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
  25. 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
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