Fujifilm SonoSite is pleased to announce the launch of its redesigned SonoSite Institute, a comprehensive online educational resource dedicated to empowering and educating healthcare providers about point-of-care ultrasound (POCUS). The enhanced website takes account of feedback from current users worldwide to offer an improved user experience, easier to locate content, and reconfigured learning…
Tumours change over time – and not only in size. They also evolve genetically, mutate and spread through equally diverse metastases. Each is unique and present with a more or less complex structure, but rarely as a unified entity. Characterising them from A to Z and from detection to neutralisation remains a challenge for modern medicine.
Radiologists have not ended talk about artificial intelligence and machine learning but, rather than fear for the future of their profession, they themselves must decide how that should be, an eminent expert Dr Woojin Kim warned ECR delegates in Vienna in March. Two years in discussion and the hype around artificial intelligence (AI) is far from fading. Interest has never been higher, and the…
Researchers at the University of North Carolina School of Medicine used MRI brain scans and machine learning techniques at birth to predict cognitive development at age 2 years with 95 percent accuracy. “This prediction could help identify children at risk for poor cognitive development shortly after birth with high accuracy,” said senior author John H. Gilmore, MD, Thad and Alice Eure…
Extended reality applications like virtual reality (VR) and augmented reality (AR) are mostly known for their use in the gaming or movie industries. However, in recent years, clinicians have begun exploring potential medical applications for those immersive technologies.
Social media is opening up a whole new world for radiologists and other medical professionals; it enables them to share information, network, job hunt – or be head-hunted – and promote their work. Yet concerns remain about data security and confidential patient information – albeit anonymised – still being transmitted across open platforms. Radiologist Erik Ranschaert has conducted…
Canon Medical Systems introduces Global Illumination to the existing Vitrea Advanced Visualization workflows. It delivers photorealistic 3D renderings of the human anatomy that enriches communication among specialists, clinicians and with patients. Global Illumination uses complex lighting and shading techniques to provide photo-realistic imaging of three-dimensional anatomy. The technology…
Despite COCIR raising the alarm as early as 2014, the age of the installed base of medical imaging equipment in Europe continues to increase. To draw attention to this worrying trend, COCIR is presenting new data on the current situation in four modalities of medical imaging, graphically demonstrating the extent of the issue. These were launched tday at the European Congress of Radiology 2019 in…
Canon Medical Systems Europe B.V. introduces a new angiography configuration featuring its Alphenix Sky+ C-arm and Hybrid Catheterization Tilt/Cradle Table for interventional procedures with its Aquilion One Genesis CT system. The new pairing, called the Alphenix 4D CT, allows clinicians to efficiently plan, treat and verify in a single clinical setting. “The all new Alphenix 4D CT was designed…
The international LUCA consortium has developed a non-invasive, low-cost device that brings a new solution for thyroid cancer screening. Funded by the European Commission, the device aims to attain more precise and accurate diagnosis of thyroid nodules to help reduce unnecessary surgeries.
Fabrizio d’Abate, St. George’s University Hospitals NHS Foundation Trust, in London, UK describes new aspects of learning and training in ultrasound operation: "A textbook represents the most traditional tool of a teaching arsenal. However, the IT boom and internet have transformed the way people approach different tasks in their lives, from solving a problem to acquiring knowledge. This…
Radiologist Alexis Kelekis, Associate Professor of Interventional and Musculoskeletal Radiology at Attikon University Hospital, Athens, speaks about his work and developments in merging scans and techniques to gain greater accuracy in diagnosis and planning. The benefits of fusion imaging are widely acknowledged. Favoured in clinical practice by radiologist Alexis Kelekis, he explained: ‘The…
New medical software which overlays tumour information from MRI scans onto ultrasound images is helping to improve detection of prostate cancer by guiding surgeons as they conduct biopsies. Developed at University College London (UCL), the software is deployed via a system called SmartTarget and embraces artificial intelligence (AI) to use both systems in tandem to enable surgeons to pick up…
The first total-body positron emission tomography/computed tomography (PET/CT) that can acquire a 3D image of the human body in a single position received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in January 2019. Its forthcoming commercial availability for clinical use in the United States later this year is the milestone achievement of a multi-institutional consortium…
The topic of artificial intelligence (AI) was omnipresent at RSNA2018, the annual meeting of the Radiological Society of North America. From the opening presidential address, throughout scientific sessions and educational presentations, to the vendors’ technical exhibition, around 53,000 attendees learned about pioneering new products, research, plus challenges and opportunities to implement…
‘Is it possible to know whether a treatment will work before even starting it – in other words, to predict the truth? That’s the great promise of holomics, a concept that everyone has been involved in without even noticing,’ said leading French physicist Irène Buvat, from the In Vivo Molecular Imaging French lab, who is set to focus on this subject at ECR 2019. ‘The truth,’ said…
A new radiomics study could help unlock one of the more challenging issues facing thoracic radiologists. Distinguishing non-small cell lung cancer from benign nodules is a major challenge due to their similar appearance on CT images. Now, however, researchers from Case Western Reserve University in Cleveland, Ohio, have used radiomic features extracted from CT images to differentiate between…
Keeping data within the hospital by sending the learning modules to each hospital database might prove a game-changer in radiomics, a leading Dutch researcher will show at ECR 2019. Radiomics, a field that aims to extract large amounts of quantitative features from medical images using data-characterisation algorithms, is a major advance for healthcare, according to Philippe Lambin, a radiation…
Molecular imaging is an exciting field for scientists who are willing to explore and innovate, prominent Spanish physicist José María Benlloch pointed out when he reviewed some of the most impacting and recent innovations in his portfolio during a meeting in Valencia. ‘Our mission is to develop innovative sensitive and harmless medical imaging instruments for early detection of diseases and…
Technological change is a major part of change management in radiology and it is inevitable. Artificial intelligence (AI) has slipped into every area of life including the hospital, and is already making decisions in radiology systems. The good news is that radiologists could win on two fronts, provided they play their cards well, a leading USA radiologist told delegates at a recent congress in…
This is a 20th anniversary year for Fujifilm’s Synapse, the world’s first web- based PACS. Today, Synapse 3-D offers advanced 3-D rendering in the Synapse PACS Viewer to perform fast, accurate extractions, stenosis measurements, brain perfusion CT, MRI, and more, the company reports. The Fujifilm Healthcare IT platform includes a comprehensive medical informatics and enterprise-imaging…
The professionals we all rely on to keep us healthy, they rely on X-Ray imaging systems empowered by flat panel detectors and software solutions provided by Thales. Our solutions offer superior accuracy and advanced image processing to help image interpretation while decreasing radiation exposure. They also include a variety of innovative features that simplify the daily workflow of healthcare…
AI algorithms are making their way not just into diagnostic workstations, but will also in future be found in the diagnostic methods themselves. Prof. Mathias Goyen, Chief Medical Officer Europe at GE Healthcare, discusses AI algorithms in radiology. "According to a study by the consultancy firm Accenture, the estimated annual market volume for AI applications in healthcare in the USA will…
Ultra-high-field magnetic resonance tomography with field strength of 7 Tesla is slowly but surely entering clinical routine. ‘Thanks to very high spatial and spectral resolution, ultra-high-field MR permits detailed views of the human anatomy and can show precisely the metabolic processes such as those in the brain,’ said Professor Siegfried Trattnig, from Vienna’s Medical University.
Artificial intelligence (AI) continues to drive radiologists’ discussions. Among them, Associate Professor Georg Langs, head of the Computational Imaging Research Lab (CIR) at the University Clinic for Radiology and Nuclear Medicine at the Medical University of Vienna, believes: ‘The evaluation of patterns in data from imaging examinations and clinical information about patients using machine…
