Recent developments in artificial intelligence (AI) created a veritable hype. However, that initial awe was increasingly mixed with apprehension about the potential effects of AI on healthcare. In radiology, bleak dystopias are conjured up with AI replacing the human radiologist. A scenario that Dr Felix Nensa considers premature, to say the least.
The Danes have shown for some time how e-health can work successfully on a national level. The health portal sundhed.dk (= health), initiated in 2001 and launched in 2003, is part of the public healthcare system. As of January 2018, the Danish national strategy describes sundhed.dk as a national access point for personal health-related data for hospitals, general practitioners and communities,…
The selection of a first-line chemotherapy drug to treat many types of cancer is often a clear-cut decision governed by standard-of-care protocols, but what drug should be used next if the first one fails? That’s where Georgia Institute of Technology researchers believe their new open source decision support tool could come in. Using machine learning to analyze RNA expression tied to…
A deep neural network algorithm called BOTA uses bacterial genomes to identify unrecognized bacterial antigens.
A new dimension in data handling is not only emerging, but is already a reality in our lives. However, political discourse about this often lags behind real events. We spoke with two experts who have an overview of clouds, decentralised data flows and the evaluation of personal data with IT help in various areas. Engineer Professor Alexandra Dmitrienko is a Secure Software Systems expert at the…
Checking a lump for malignancy, finding out if food is fresh, just with your smartphone? It’s possible, according to Eindhoven University of Technology researchers in the Netherlands. Their recently presented spectrometer is small enough to insert into a smartphone. This device is not yet ready for use on a big scale, Professor Andrea Fiore, supervisor of the Eindhoven research team points out.…
Standardised and well-structured data, as well as the definition of clear objectives, are indispensable prerequisites for artificial intelligence implementation into clinical processes. ‘Ask not what artificial intelligence can do for you but what you can do for artificial intelligence!’ This variation on John F Kennedy’s famous quote comes from Dr Ben Glocker, Senior Lecturer in Medical…
Innovative virtual reality (VR) technologies hold promise in reducing children’s anxiety and pain before and after medical procedures and surgery, suggest two studies that were presented at the Anesthesiology 2018 annual meeting. The first study found virtual reality hypnosis (VRH) reduced anxiety, total postoperative opioid consumption and vomiting in children after scoliosis surgery.…
Imagine a first responder answering the call to a natural disaster, a house fire, or an active shooter incident where there may be multiple injuries and unknown casualties. The information the responder needs to fulfill the mission is immeasurable. When you also consider the volume of data they receive from other responders, dispatch, command centers, victims, and onlookers while receiving and…
Text messages aren't just a way to chat with family and friends—they are a viable method for rapidly gathering information during a public health crisis.
Enthusiasm for an emerging digital health tool, the smart pill, is on the rise but researchers at the University of Illinois at Chicago have published a paper in the American Journal of Bioethics that cautions health care providers and policymakers to slow down when it comes to allowing this technology in patient care settings.
Machine learning is increasingly helping radiologists to acquire faster and better quality images, and measure heart function. This is just the tip of the iceberg; artificial intelligence has far more to bring to the heart, explained Daniel Rueckert, Head of the Department of Computing at Imperial College London, during CMR 2018. Machine learning (ML) is becoming a valuable assistant for…
Neuroscientist Lynda Chin MD, Founder and CEO of Real-world Education Detection and Intervention, has little doubt: ‘Artificial intelligence to the rescue,’ she proclaimed in her keynote address at the Artificial Intelligence and Machine Learning Summit, held in Las Vegas this spring. ‘We need a system and analytics to interpret data!’ she urged, despite being well aware that building a…
While the question is still debated as to whether MRI is the better CT, along comes a potential game changer – a new data based 3-D reconstruction method of heart anatomy and function that aims to replace diagnostic coronary angiography. In the near future not only adult patients with coronary heart disease could benefit from this new technique but also children with complex congenital heart…
Using a new approach called 'reinforced learning', researchers have taught an artificial intelligence (AI) to responsibly choose the right amount of chemo- and radiotherapy for glioblastoma patients. The technique, which is insprired by behavioural psychology, has given the AI the ability to master the tightrope walk between effective tumor shrinkage and the medications' severe side effects.
A multidisciplinary team of researchers from the National University of Singapore (NUS) has developed an artificial intelligence (AI) technology platform that could potentially change the way drug combinations are being designed, hence enabling doctors to determine the most effective drug combination for a patient quickly. Applying the platform towards drug resistant multiple myeloma, a type of…
Rutgers University–New Brunswick engineers have created a smart wristband with a wireless connection to smartphones that will enable a new wave of personal health and environmental monitoring devices. Their technology could be added to watches and other wearable devices that monitor heart rates and physical activity.
A new augmented reality system to guide procedures in interventional oncology is currently taking its first steps. A three-step experiment proves this system to be precise and reliable enough to facilitate image guidance critical to the success of interventional oncology procedures. Using a back-face camera and a tablet PC to visualise the patient, the system projects 3D images of body structures…
The digital revolution in healthcare in the United States is marching steadily forward, spurred by federal government regulations and financial incentives, by technological innovations, and by the necessities of increasing healthcare treatment efficiency, of lowering its cost and economic impact, and of elevating communications among providers, patients and payers to the norms of the 21st…
Using a new computational strategy, researchers have identified 29 genetic changes that can contribute to an aggressive childhood cancer. Their work helps to explain “the engine” driving formation of rhabdomyosarcoma and suggests potential treatments.
Artificial Intelligence (AI) and machine learning are poised to transform healthcare, potentially freeing practitioners across many disciplines from routine tasks and saving lives through efficient early detection. Offering insight into the health of both individuals and populations, these ’deep learning‘ algorithms have the potential to process vast amounts of data and identify warning…
The emergence of Blockchain technology is set to play an ever-increasing role within healthcare settings within the next two years, according to industry experts. One organisation focusing on its potential is global consultancy and software development company DataArt, which sees more healthcare organisations embracing its applications in the not too distant future. Blockchain is a continuously…
For many years, Virtual Reality (VR) has been part of the gaming sector with eye goggles for players to interact with certain scenarios. However, more recently VR has shown it can deliver specific treatments in healthcare. It is already being applied, for example, to treat phobias and as a distraction therapy for pain.
Researchers have shown for the first time that a form of artificial intelligence or machine learning known as a deep learning convolutional neural network (CNN) is better than experienced dermatologists at detecting skin cancer. In a study published in the leading cancer journal Annals of Oncology, researchers in Germany, the USA and France trained a CNN to identify skin cancer by showing it more…
ISPOR, the professional society for health economics and outcomes research, held its second plenary session, “Digital Health—Help or Hype?,” this morning at ISPOR 2018 in Baltimore, MD, USA. As digital technologies such as smart phones, social media, and wearables have increasingly become available, the potential opportunities for tracking health metrics and enhancing participation in…