Machine learning is playing an increasing role in computer-aided diagnosis, and Big Data is beginning to penetrate oncological imaging. However, some time may pass before it truly impacts on clinical practice, according to leading UK-based German researcher Professor Julia Schnabel, who spoke during the last ESMRMB annual meeting. Machine learning techniques are starting to reach levels of human…
Communicating with patients can be tough. Reminder pamphlets often go straight into the rubbish and emails are deleted before they are read. But one doctor found that chatbots could be a key to patient outreach. Brett Swenson, MD, is no stranger to digital health. He runs a concierge practice in Arizona and started working with EMRs about 20 years ago when they were first introduced. He said he…
The tech world descended upon Las Vegas this week for the annual Consumer Electronics Show, and plenty of health IT’s biggest players were in attendance. While much of the discussion was on consumer-friendly health tools and novel digital interventions, there were still a handful of products and discussions between executives and entrepreneurs focused on healthcare’s largest roadblocks —…
3-D visualisation, augmented reality, automated tumour classification – today, the Republic of China produces cutting-edge medical technology and it’s a long time since ‘Made in Taiwan’ stood for inferior, copied products. Over recent years, this island state has successfully morphed into a productive and, above all, innovative manufacturer of medical technology available on the world…
Automation might be the solution for many of the challenges radiologists and clinicians face today. Toshiba Medical, a Canon Group, is currently pushing the boundaries of what automation can accomplish and presenting their project in progress at this year's RSNA. Overwhelming volume of clinical data every day, limited access to relevant clinical information, missed findings and lack of…
GE Healthcare and NVIDIA announced they will deepen their 10-year partnership to bring the most sophisticated artificial intelligence (AI) to GE Healthcare’s 500,000 imaging devices globally and accelerate the speed at which healthcare data can be processed. The scope of the partnership, detailed at the 103rd annual meeting of the Radiological Society of North America (RSNA), includes the…
While there has been a lot of hype — and even fear — about the role deep learning (DL) and artificial intelligence (AI) play in radiology, the reality is that they are both potentially useful technologies that will add value to the specialty in a number of ways. "Deep Learning is not going to replace us," said Paul Chang, MD, of the University of the Chicago School of Medicine,…
Scientists are using Artificial Intelligence (AI) to support more effective breast cancer detection. The researchers at Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts General Hospital (MGH), and Harvard Medical School, are using the machine learning system to predict whether breast lesions identified from a biopsy will…
Early adoption of image analytical tools and artificial intelligence (AI) are crucial if health systems across Europe are to see the full potential of digital pathology, according to leading expert Professor Johan Lundin, Research Director at the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki. Although European institutions increasingly embrace digital pathology, he…
Every day we hear news about Artificial Intelligence (AI) impacting more and more aspects of our lives. Stories about autonomous vehicles would probably top a current list of AI news. With all the excitement coming with these promising AI technologies, we are also starting to understand the limitations. In a recent Las Vegas traffic accident involving an autonomous bus and a truck, the cited…
Automation continues to conquer healthcare, including diagnostic imaging. Christian Kollmann, Assistant Professor at the Centre for Medical Physics and Biomedical Technology, Medical University Vienna, Austria, highlights innovative software, fast hardware and artificial intelligence in ultrasound – today and in the future. Automated analyses are already supporting the diagnostic work-up. In…
The treasure trove of healthcare data waiting to be explored in German hospitals is immense and could provide invaluable insights. However, what about data security and privacy? Andreas Klüter, CTO of Empolis Information Management GmbH, a new business entry in healthcare IT, spoke with European Hospital about medical text mining and the need for ethics discussion.
Artificial intelligence (AI) has taken centre stage during the Medica Academy sessions. While talks focus on initiatives made in Germany, European Hospital took a look at Spain and spoke with Ignacio Hernández Medrano, a neurologist recently elected as one of the most influential people in healthcare (HC). At just 34 years old, Medrano has already founded two flagship AI projects, one of which…
Artificial Intelligence (AI) has enormous potential to revolutionise the delivery of healthcare, being able to remove the drudgery’ of routine tasks, join up fragmented care records, trigger alerts when abnormal results occur, speed-up the process of identifying clusters of patients by digging deep into electronic health records, and increase efficiency of healthcare staff resources.
After this year's successful 1st congress about Emerging Technologies in Medicine (ETIM) in Essen, the organizing committee sets the stage for the second edition in February 16/17, 2018. This year, the event is dedicated to the role of artificial intelligence and robotics in medicine.
Carestream Health is demonstrating advanced imaging analytics software tools designed to enhance value in the delivery of medical care as part of its Clinical Collaboration Platform at the SIIM Machine Learning Showcase being held Sept 26-27 at Johns Hopkins Hospital in Baltimore, Md.
Philips TrueVue, GlassVue, aReveal A.I. and TouchVue improve workflow and diagnostic confidence, enhancing the connection between clinicians and their patients.
Early adoption of image analytical tools and artificial intelligence are crucial if health systems across Europe are to see the full potential of digital pathology, according to a leading expert. While a growing number of European institutions are beginning to embrace digital pathology, Professor Johan Lundin remains concerned about the slow pace of progress. He acknowledges that more…
The recipe for an exciting congressional session is simple: Take a controversial hypothesis, a proponent who defends this hypothesis and an opponent who argues against it.
San Carlos Hospital in Madrid has undertaken a number of projects to promote artificial intelligence (AI) use in clinical practice. Dr Julio Mayol, Medical Director and Head of the Innovation Unit, explained these initiatives and the direction he wants to take in an exclusive interview.
Access, accuracy and efficiency are at the core of Samsung’s healthcare strategy, explained Insuk Song, Vice President of Product Planning, Healthcare and Medical Equipment at Samsung Electronics, during our exclusive European Hospital interview. Samsung, the Korean giant, is now proceding with its artificial intelligence (AI) deployment, notably with the S-Detect software to help ultrasound…
A computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide. The research has implications for the early diagnosis of serious illness, and medical intervention.
Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed…
With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.