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Found 157 results
  1. News Article
    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 learning algorithm to teach them safe surgical techniques. Human instructors observed the students over a live feed and gave instructions based on their performance. The students tutored by the AI system learned surgical skills 2.6 times faster and performed 36 per cent better than those advised by human experts, without experiencing the heightened stress the researchers had anticipated. Using AI training models to tutor students could be an effective way to improve their skills and patient safety while reducing the burdens placed on human instructors, the study, published in the Journal of the American Medical Association, found. “Artificially intelligent tutors like the VOA may become a valuable tool in the training of the next generation of neurosurgeons,” said Dr Rolando Del Maestro, the study’s senior author. Read full story Source: iNews, 22 February 2022
  2. News Article
    The use of artificial intelligence in breast cancer screening is safe and can almost halve the workload of radiologists, according to the world’s most comprehensive trial of its kind. Breast cancer is the most prevalent cancer globally, according to the World Health Organization, with more than 2.3 million women developing the disease every year. Screening can improve prognosis and reduce mortality by spotting breast cancer at an earlier, more treatable stage. Preliminary results from a large study suggest AI screening is as good as two radiologists working together, does not increase false positives and almost halves the workload. The interim safety analysis results of the first randomised controlled trial of its kind involving more than 80,000 women were published in the Lancet Oncology journal. Read full story Source: Guardian 2 August 2023
  3. News Article
    The adoption of artificial intelligence (AI) by the NHS should be faster, and more frameworks should be in place to get emerging technologies to as many patients as possible, experts have told MPs. A number of senior figures from medicine and biotechnology gave evidence to the Health and Social Care Committee as part of its inquiry into cancer technology. Stephen Duffy, a professor of cancer screening at the Wolfson Institute of Population Health at Queen Mary University of London, told MPs there is “strong potential” for AI, particularly in areas such as reading mammograms for the breast screening programme. However, he warned that there will be “staff issues in terms of the number of staff needed to double-read mammograms”. He added: “Those issues aren’t going away. It seems to me that AI systems have already been shown to be very good in terms of detection of cancer on from mammograms, so they’re safe in that respect. Read full story Source: The Independent, 19 July 2023
  4. News Article
    Cheshire and Merseyside won Gold in the ‘Supporting Elective Recovery Through Digital’ category, at the HSJ Digital Awards, alongside technology partner C2-Ai, after transforming how waiting lists are managed with the help of an AI-backed waiting list model. The tool helps surgical teams identify previously hidden high-risk patients, and to make informed decisions on how, when and where to treat patients to achieve the best outcomes. NHS England, who commissioned the project, reported that within six weeks patient waiting lists dropped by nearly 30%, as well as a 66% decrease in intensive care needs for high-risk patients, saved about 2,500 hospital bed-days across 20,000 patients, and cut emergency admissions to the waiting list by 8%. Read full story Source: NHS Cheshire and Merseyside, 3 July 2023
  5. News Article
    A new type of artificial-intelligence technology that cuts the time cancer patients must wait before starting radiotherapy is to be offered at cost price to all NHS trusts in England. It helps doctors calculate where to direct the therapeutic radiation beams, to kill cancerous cells while sparing as many healthy ones as possible. Researchers at Addenbrooke's Hospital trained the AI program with Microsoft. For each patient, doctors typically spend between 25 minutes and two hours working through about 100 scan cross-sections, carefully "contouring" or outlining bones and organs. But the AI program works two and a half times quicker, the researchers say. When treating the prostate gland, for example, medics want to avoid damage to the nearby bladder or rectum, which could leave patients with lifelong continence issues. Read full story Source: BBC News, 27 June 2023
  6. News Article
    Artificial intelligence (AI) is set to be rolled out more widely across the NHS in a bid to diagnose diseases and treat patients faster. The Government has announced a £21 million funding pot that NHS trusts can apply for to implement AI tools for the likes of medical imaging and decision support. This includes tools that analyse chest X-rays in suspected cases of lung cancer. AI technology that can diagnose strokes will also be available to all stroke networks by the end of 2023 – up from 86% – and could help patients get treated faster and lead to better health outcomes. The Department of Health and Social Care (DHSC) said the technology could help cut NHS waiting lists ahead of winter. Read full story Source: The Independent, 23 June 2023
  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 England in a fresh drive to identify thousands of people unaware they have the virus. The scheme, due to begin in the next few weeks, aims to help people living with hepatitis C get a life-saving diagnosis and access to treatment before it is too late. The NHS will identify people who may have the virus by using AI to scan health records for a number of key risk factors, such as historical blood transfusions or an HIV diagnosis. Anyone identified through the new screening process will be invited for a review by their GP and, if appropriate, further screening for hepatitis C. Those who test positive for the virus will be offered treatment available after NHS England struck a deal with three major pharmaceutical companies. Prof Graham Foster, national clinical chair for NHS England’s hepatitis C elimination programmes, said the scheme “marks a significant step forward” in the fight to eliminate the virus before 2030. It will “use new software to identify and test patients most at risk from the virus – potentially saving thousands of lives”, he added. Read full story Source: The Guardian, 31 July 2022
  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 implementation at County Durham and Darlington has led to a reduction in both hospital-acquired and community AKI. Overall, the incidence of AKI within the trust fell from 6.5% between March and May 2020, to 3.8% during the same period in 2021. The most significant reduction was seen in hospital-acquired AKI – which fell by more than 80%. Jeremy Cundall, medical director for County Durham and Darlington NHS Foundation Trust and executive lead for the project, said: “The partnership has resulted in patients being detected earlier – preventing AKI from occurring or mitigating the worsening of existing AKI. Accordingly, patients have been more effectively triaged to the right pathways of care including referral and transfer to tertiary renal units where appropriate.” Claire Stocks, early detection, resuscitation and mortality lead nurse for County Durham and Darlington NHS Foundation Trust, said: “This work has been a project very much about using collaborative partnerships to enhance patient safety and quality. An idea that was developed in a ‘cupboard conversation’ is now a fully operational specialist nurse service. Utilising digital innovations supports rapid triage, early detection and treatment to improve outcomes.” In addition to the improvements in patient safety, the technology has delivered cost savings for the trust too. County Durham and Darlington saved more than £2million in direct costs from reductions in AKI incidence. The improved transfer of patients has also released ICU capacity, vital at a time when the NHS is dealing with a growing national backlog for elective surgery. Read full story Source: Digital Health, 27 July 2022
  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 AI used by hospitals worldwide and found it had a 70% success rate in predicting liver disease from blood tests. But they uncovered a wide gender gap underneath – with 44% of cases in women missed, compared with 23% of cases among men. “AI algorithms are increasingly used in hospitals to assist doctors diagnosing patients. Our study shows that, unless they are investigated for bias, they may only help a subset of patients, leaving other groups with worse care,” said Isabel Straw, of University College London, who led the study. “We need to be really careful that medical AI doesn’t worsen existing inequalities.” Read full story Source: iNews, 9 July 2022
  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. The discovery could lead to health trackers being adapted with AI to detect Covid-19 early, simply by spotting basic physiological changes. This could help provide an early warning system to users that they may be infected, which may in turn help to prevent the spread of the disease more widely. Read full story Source: The Guardian, 21 June 2022
  11. News Article
    Artificial intelligence could help NHS surgeons perform 300 more transplant operations every year, according to British researchers who have designed a new tool to boost the quality of donor organs. Currently, medical staff must rely on their own assessments of whether an organ may be suitable for transplanting into a patient. It means some organs are picked that ultimately do not prove successful, while others that might be useful can be disregarded. Now experts have developed a pioneering method that uses AI to effectively score potential organs by comparing them to images of tens of thousands of other organs used in transplant operations. The project is being backed by NHS Blood and Transplant (NHSBT), which has almost 7,000 people in the UK on its waiting list for a transplant. “We at NHSBT are extremely committed to making this exciting venture a success,” said Prof Derek Manas, the organ donation and transplantation medical director of NHSBT. “This is an exciting development in technological infrastructure that, once validated, will enable surgeons and transplant clinicians to make more informed decisions about organ usage and help to close the gap between those patients waiting for and those receiving lifesaving organs.” Read full story Source: The Guardian, 1 March 2023
  12. News Article
    The adoption of AI tools to simplify processes and workflows is slowly occurring across all industries, including healthcare — though patients largely disagree with clinicians using those tools when providing care, the Pew Research Center survey found. The potential for AI tools to diminish personal connections between patients and providers is a key concern, according to the survey, which included responses from over 11,000 adults in the USA collected in December. Patients also fear their health records could become less secure. Respondents, however, acknowledged potential benefits, including that AI could reduce the number of mistakes providers make. They also expressed optimism about AI’s potential impact on racial and ethnic biases in healthcare settings, even as the technology has been criticised for exacerbating those issues. Among respondents who believe racial biases are an issue in healthcare, about half said they think the tools would reduce the problem, while 15% said it would make it worse and about 30% said it would stay the same. Read full story Source: Healthcare Dive, 23 February 2023
  13. News Article
    The chairman of Covid vaccine giant AstraZeneca has said that investment in technology can help the NHS cut costs. Leif Johansson said more spending on areas such as artificial intelligence and screening could prevent illness and stop people going to hospital. The NHS is under severe pressure, with A&E waits at record levels and strike action exacerbating ambulance delays. Mr Johansson said about 97% of healthcare costs come from "when people present at the hospital". He said only the remaining 3% is made up of spending on vaccination, early detection or screening. Mr Johansson told the BBC at the World Economic Forum in Davos: "If we can get into an investment mode in health for screening or prevention or early diagnostics on health and see that as an investment to reduce the cost of sickness then I think we have a much better model over time that would serve us well." Commenting on the UK, he said: "All countries have different systems and the NHS is one which we have learned to live with and I think the Brits, in general, are quite appreciative about it." He said he was not talking about "breaking any healthcare systems down". Rather, he said, "we should embrace technology and science". Read full story Source: BBC News, 23 January 2023
  14. News Article
    Technology that accurately predicts when patients will be ready to leave hospital upon their arrival in A&E is being introduced to solve the NHS bed-blocking crisis. The artificial intelligence (AI) software analyses data including age, medical conditions and previous hospital stays to estimate how long a patient will need to remain. Hospital managers can then alert social care services in advance about the date when patients are expected to be discharged, allowing care home beds or community care packages to be prepared. Nurses said the technology had “revolutionised” their ability to discharge patients on time, meaning people who would otherwise have been stuck in hospital had got home for Christmas. The new technology, developed by the British AI company Faculty, is being tested at four NHS hospitals in Wales belonging to the Hywel Dda health board. Analysis suggests that the tool will save NHS trusts 3,000 bed days and £1.4 million a year by speeding up discharges, which in turn frees beds for elective procedures such as hip replacements. Read full story (paywalled) Source: The Times, 26 December 2022
  15. News Article
    Despite the drawbacks of turning to artificial intelligence in medicine, some US physicians find that ChatGPT improves their ability to communicate with patients. Last year, Microsoft and OpenAI released the first free version of ChatGPT. Within 72 hours, doctors were using the artificial intelligence-powered chatbot. Experts expected that ChatGPT and other A.I.-driven large language models could take over mundane tasks that eat up hours of doctors’ time and contribute to burnout, like writing appeals to health insurers or summarising patient notes. However, they found that doctors were asking ChatGPT to help them communicate with patients in a more compassionate way. Dr Michael Pignone, the chairman of the department of internal medicine at the University of Texas at Austin, has no qualms about the help he and other doctors on his staff got from ChatGPT to communicate regularly with patients. However, skeptics like Dr Dev Dash, who is part of the data science team at Stanford Health Care, are so far underwhelmed about the prospect of large language models like ChatGPT helping doctors. In tests performed by Dr Dash and his colleagues, they received replies that occasionally were wrong but, he said, more often were not useful or were inconsistent. If a doctor is using a chatbot to help communicate with a patient, errors could make a difficult situation worse. Read full story (paywalled) Source: New York Times, 12 June 2023
  16. News Article
    As excitement builds throughout health and information systems worldwide over the rich potential benefits of new tools generated by artificial intelligence (AI), the World Health Organization (WHO) has called for action to ensure that patients are properly protected. Cautionary measures normally applied to any new technology are not being exercised consistently with regard to large language model (LLM) tools, which use AI for crunching data, creating content, and answering questions, WHO warned. “Precipitous adoption of untested systems could lead to errors by healthcare workers, cause harm to patients, erode trust in AI, and thereby undermine or delay the potential long-term benefits and uses of such technologies around the world,” the agency said. As such, WHO proposed that these concerns are addressed and clear evidence of benefits are measured before their widespread use in routine health care and medicine. Read full story Source: United Nations News, 16 May 2023
  17. News Article
    Artificial intelligence (AI) could be “transformational” in improving heart attack diagnosis to reduce pressure on emergency departments, a new study suggests. Doctors could soon use an algorithm developed using AI to diagnose heart attacks with better speed and accuracy than ever before, the research from the University of Edinburgh indicates. It could also help tackle dangerous inequalities in diagnosing the condition, scientists suggest. Researchers found that, compared to current testing methods, the algorithm called CoDE-ACS was able to rule out a heart attack in more than double the number of patients, with an accuracy of 99.6%. Nicholas Mills, British Heart Foundation (BHF) professor of cardiology at the Centre for Cardiovascular Science, University of Edinburgh, who led the research, said: “For patients with acute chest pain due to a heart attack, early diagnosis and treatment saves lives. “Unfortunately, many conditions cause these common symptoms, and the diagnosis is not always straight forward. “Harnessing data and artificial intelligence to support clinical decisions has enormous potential to improve care for patients and efficiency in our busy emergency departments.” Read full story Source: The Independent, 11 May 2023
  18. News Article
    A breakthrough AI model can determine a person's risk of developing pancreatic cancer with staggering accuracy, research suggests. Using medical records and information from previous scans, the AI was able to flag patients at a high risk of developing pancreatic cancer within the next three years with great accuracy. There are currently no full-proof scans for pancreatic cancer, with doctors using a combination of CT scans, MRIs and other invasive procedures to diagnose it. This keeps many doctors away from recommending these screenings. Over time, they also hope these AI models will help them develop a reliable way to screen for pancreatic cancer — which already exists for other types of the diseases. "One of the most important decisions clinicians face day to day is who is at high risk for a disease, and who would benefit from further testing, which can also mean more invasive and more expensive procedures that carry their own risks," Dr Chris Sander, a biologist at Harvard who contributed to the study, said. "An AI tool that can zero in on those at highest risk for pancreatic cancer who stand to benefit most from further tests could go a long way toward improving clinical decision-making." Read full story Source: Mail Online, 9 May 2023
  19. News Article
    AI could harm the health of millions and pose an existential threat to humanity, doctors and public health experts have said as they called for a halt to the development of artificial general intelligence until it is regulated. Artificial intelligence has the potential to revolutionise healthcare by improving diagnosis of diseases, finding better ways to treat patients and extending care to more people. But the development of artificial intelligence also has the potential to produce negative health impacts, according to health professionals from the UK, US, Australia, Costa Rica and Malaysia writing in the journal BMJ Global Health. The risks associated with medicine and healthcare “include the potential for AI errors to cause patient harm, issues with data privacy and security and the use of AI in ways that will worsen social and health inequalities”, they said. One example of harm, they said, was the use of an AI-driven pulse oximeter that overestimated blood oxygen levels in patients with darker skin, resulting in the undertreatment of their hypoxia. Read full story Source: The Guardian, 10 May 2023
  20. News Article
    Doctors, scientists and researchers have built an artificial intelligence (AI) model that can accurately identify cancer in a development they say could speed up diagnosis of the disease and fast-track patients to treatment. Cancer is a leading cause of death worldwide. It results in about 10 million deaths annually, or nearly one in six deaths, according to the World Health Organization. In many cases, however, the disease can be cured if detected early and treated swiftly. The AI tool designed by experts at the Royal Marsden NHS foundation trust, the Institute of Cancer Research, London, and Imperial College London can identify whether abnormal growths found on CT scans are cancerous. The algorithm performs more efficiently and effectively than current methods, according to a study. The findings have been published in the Lancet’s eBioMedicine journal. “In the future, we hope it will improve early detection and potentially make cancer treatment more successful by highlighting high-risk patients and fast-tracking them to earlier intervention,” said Dr Benjamin Hunter, a clinical oncology registrar at the Royal Marsden and a clinical research fellow at Imperial. Read full story Source: The Guardian, 30 April 2023
  21. Content Article
    The pandemic has highlighted several longstanding, systemic issues in healthcare, and clinician burnout is chief among them. From regulatory-related constraints to inefficient EHR workflows, a day in the life of a provider looks very different than what many envisioned when deciding to pursue a career in medicine. Additionally, the rate of staff departures and early retirements has put even more pressure on overburdened care teams. No single solution can solve this complex issue.  In this Becker's Hospital Review eMagazine, experts share actionable strategies and industry trends that can help healthcare organizations support the providers. How to recognize early signs of burnout. Three ways AI can reduce providers’ administrative burdens. Using human-centered design to address burnout. How a 'platform of health' can dismantle burnout and increase collaboration. You will need to fill out the form on Becker's Hospital Review website to download the whitepaper. 
  22. Content Article
    After a prolonged battle with the COVID-19 pandemic, healthcare providers now face the next crisis that has been brewing even longer: staff shortages and an increasingly exhausted workforce. In early 2022, almost one in two (47%) healthcare professionals reported feeling burned out, up from 42% last year. Many consider leaving the field, adding to the worries of employers who see growing demand for care without enough hands at the bedside to cater for their patients. Can AI be part of the solution by helping healthcare professionals reclaim the joy in their work? An article by Philips.  
  23. 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 of these technologies on the workforce’s education and training requirements. In the previous report, the AI Lab and HEE found that many clinicians and staff were unaccustomed to the use of AI technologies, and without the suitable training patients would not be able to experience and share the advantages. The new report has set out recommendations for education and training providers in England to support them in planning, resourcing, developing and delivering new training packages in this area. It notes that specialist training will also be required depending on roles and responsibilities such as involvement in implementation, procurement or using AI in clinical practice. Brhmie Balaram, Head of AI Research and Ethics at the NHS AI Lab, added: “This important new research will support those organisations that train our health and care workers to develop their curriculums to ensure staff of the future receive the training in AI they will need. This project is only one in a series at the NHS AI Lab to help ensure the workforce and local NHS organisations are ready for the further spread of AI technologies that have been found to be safe, ethical and effective.” Read full story Source: Health Tech Newspaper, 25 October 2022
  24. 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 could open the door to a highly effective, non-invasive test becoming available for people at medium to high risk of heart disease that does not have to be done in a clinic. “This AI tool could let someone know in 60 seconds or less their level of risk,” the lead author of the study, Prof Alicja Rudnicka, told the Guardian. If someone learned their risk was higher than expected, they could be prescribed statins or offered another intervention, she said. Speaking from a health conference in Copenhagen, Rudnicka, a professor of statistical epidemiology at St George’s, University of London, added: “It could end up improving cardiovascular health and save lives.” Read full story Source: The Guardian, 4 October 2022
  25. Content Article
    In this article, published by Inflect Health, ER doctor Josh Tamayo-Sarver explains what happened when he asked artificial intelligence chatbot ChatGPT to provide possible diagnoses based on his case notes.
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