AI

  • Artificial intelligence accurately detects fractures on X-rays

    Artificial intelligence (AI) can help physicians interpret X-rays after an injury and suspected fracture, a study by the Boston University School of Medicine (BUSM) has found. Ali Guermazi, chief of radiology at VA Boston Healthcare System and professor of radiology and medicine at BUSM said fracture interpretation errors represent up to 24 per cent of [...]

  • Artificial intelligence predicts who will develop dementia

    Artificial Intelligence (AI) can predict which people who attend memory clinics will develop dementia within two years with 92 per cent accuracy, a study by the University of Exeter has found. Using data from more than 15,300 patients in the US, researchers found that machine learning can accurately tell who will go on to develop [...]

  • Falsified medical images can fool Artificial Intelligence

    Falsified mammogram images can fool Artificial Intelligence (AI) breast cancer diagnosis models and human experts. AI models that evaluate medical images have the potential to speed up and improve the accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks, a study by the University of Pittsburgh has revealed. The researchers simulated an [...]

  • Artificial Intelligence with an ethical conscience

    Jonathan Abraham, CEO and co-founder of Healum, discusses the role of Artificial Intelligence in assisting healthcare professionals to create personalised plans of care and support. At Healum we have always believed that access to proactive, personalised healthcare should be a fundamental right for every person, whatever their cultural background, location or means. The NHS Long-Term [...]

  • Emerging applications for AI in healthcare showcased at SophI.A Summit

    Last month’s SophI.A Summit brought together the world's experts in Artificial Intelligence (AI) and health. Academics, doctors and leaders from across the business world discussed AI research and emerging applications in the life sciences sector. Professor Sébastien Ourselin of King’s College London explained how a consortium of London universities is building an AI and big-data [...]

  • The benefits of medical data visualisations

    Ivan Dunskiy, CEO of software provider Demigos, discusses the rising popularity of data visualisation methods in healthcare. Data visualisation in medical care is no longer a sci-fi utopia. Today, medical data visualisation is not a fancy benefit, it is a requirement. These are not just awe-inspiring meaningless declarations; data visualisation popularity is backed up by [...]

  • Machine learning predicts risk of patient death

    Machine learning can predict the risk of death in patients with suspected or known heart disease a study by the European Society of Cardiology has found. Researchers discovered that a novel artificial intelligence score provides a more accurate forecast of the likelihood of patients with suspected or known coronary artery disease dying within 10 years [...]

  • Radiobotics develops algorithms to improve bone fracture X-ray studies

    Radiobotics has extended its partnership with US teleradiology practice Virtual Radiologic (vRad), to develop a full suite of software algorithms to enhance the speed and accuracy of bone fracture X-ray studies. Radiobotics develops AI models that can support timely and accurate diagnosis of fracture cases across the skeleton. Bone fractures are a costly public health [...]

  • Interview: Evaluating the population’s health while it sleeps

    Sleep quality can have a big impact on our overall health and wellbeing. But how do we know if the sleep we're getting is good enough? Health Tech World spoke with sleep scientist Gary Garcia-Molina about why it's so important to get a good, and well-monitored, night's sleep. Research by smart bed company Sleep Number [...]

  • Deep datasets push Australia to AI frontline of predictive health

    Research labs in Adelaide, South Australia, are using health data to determine how Artificial Intelligence (AI) can be used to identify health issues in high-risk patients. Based at the Royal Adelaide Hospital, SA Pathology has teamed with the Australian Institute for Machine Learning (AIML) and the MIT bigdata Living Lab at Lot Fourteen innovation precinct, as well as the Australian Research Centre for Interactive [...]