Luis Martí-Bonmatí, Director of the Medical Imaging Department at La Fe Hospital in Valencia, highlighted the need to assess utility when developing AI tools during ECR 2020. Artificial intelligence (AI) can impact and improve many aspects of clinical practice. But current expectations are too great and need to be toned down by looking at opportunities.
This year’s ”MS Experts Summit” sees 18 clinicians and researchers convene online for seven sessions during this summer. Under the motto “People with MS: 360º evidence-based daily management” international speakers with expertise in various domains of multiple sclerosis (MS) exchange their latest advances in managing patients suffering from this disease. In his talk “MRI imaging in…
The coronavirus pandemic created unprecedented upheaval and challenges within health systems, economies, and society. In hospitals, new ways of working had to evolve. Social distancing led to virtual consultations and teleradiology has found an added dimension. We asked three radiologists about the relevance of teleradiology during the epidemic, and what the future holds.
Former ESR President Katrine Riklund will explore the clinical applications of hybrid imaging in a virtual session for the European Congress of Radiology 2020. She will discuss a number of common indications of hybrid imaging in areas of oncological diagnosis, the indications and limitations of hybrid imaging in common diseases, and the added value of hybrid imaging. “The major benefit of…
Nuclear Medicine techniques have an important role in the clinical diagnosis of patients with cognitive impairment. And such techniques are not only valuable in a clinical setting but also in research, according one of the leading experts in the field, Javier Arbizu, who is Professor of Radiology and Nuclear Medicine at the Faculty of Medicine at the University of Navarra, Spain.
The critical role of radiographers in the coronavirus epidemic was highlighted in the final episode of the ESR Connect series of webcasts, ‘Radiology fighting COVID-19’. Three European speakers in the session ‘Radiologists & Radiographers: Lessons learned from the pandemic’ (chaired by Helmut Prosch, Professor of Radiology at the Medical University Vienna), discussed their coronavirus…
We are happy and excited to participate in the very first online ECR congress. Although we would have loved to meet you all in person at out booth, we are convinced that this online edition will be a great success. Health and healthcare is at the heart of everything we do and as an innovation leader in medical imaging, the health and well-being of students, medical-academic and research…
Computed tomography (CT) is one of the most important imaging options for the diagnostics of patients. For a long time, in clinical routine CT technology mostly showed the Hounsfield Units (HU) that are indicated in the grayscale. However, the Dual Energy CT (DECT) enables colored X-ray images, therefore significantly improving examination methods. “We can also do material separation and get a…
Artificial Intelligence is an essential tool for the healthcare operators on the front line in the fight against the Coronavirus pandemic. ASST Vimercate Hospital chose and implemented in the midst of the COVID-19 emergency REiLI, Fujifilm Medical Systems’ Artificial Intelligence.
Welcome to the world premiere of YSIO_x.pree.
Diagnostic imaging examinations and radiology departments have been essential in the care of the millions of COVID-19 patients. As the virus abates, how should radiology departments return to “normal” operations? The American College of Radiology (ACR) and the Radiological Society of North America (RSNA) have published recommendations and guidelines.
The Radiological Society of North America announced Tuesday, May 26, that amid the global COVID-19 pandemic it has decided to replace its in-person 2020 annual meeting with an all-virtual event.
Early detection of tumors is extremely important in treating cancer. A new technique developed by researchers at the University of California, Davis, offers a significant advance in using magnetic resonance imaging (MRI) to pick out even very small tumors from normal tissue. The work is published in the journal Nature Nanotechnology. Chemical probes that produce a signal on MRI can be used to…
The novel Coronavirus infection (severe acute respiratory syndrome SARS-CoV-2), which has led to the spread of COVID-19 around the world, has upset normal workflow in hospitals. The increased workload and stress, due to the necessity of implementing safe and separate diagnostic pathways, and the need to constantly monitor the development of the disease after its onset, continues to have a…
The organ of balance in the inner ear is surrounded by the hardest bone in the body. Using synchrotron X-rays, researchers at Uppsala University have discovered a drainage system that may be assumed to play a major role in the onset of Ménière's disease, a common and troublesome disorder. These results are published in the journal Scientific Reports. Ménière's disease is manifested in sudden…
Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. A team of researchers, led by the University of Cambridge and Simon Fraser University, designed a series of tests for medical image reconstruction algorithms based on AI and deep learning, and found that these techniques result in myriad…
Computed tomography (CT) is one of the most effective medical tests for analysing the effects of many illnesses, including COVID-19, on the lungs. An international team led by the Universitat Oberta de Catalunya (UOC) has developed a new method that improves the quality of the images obtained from CT scans. The algorithm, which has been tested on simulated data, enables them to distinguish…
Although the clinical symptoms of new pediatric lung disorders such as severe acute respiratory syndrome (SARS), swine-origin influenza A (H1N1), Middle East respiratory syndrome (MERS), e-cigarette or vaping product use-associated lung injury (EVALI), and coronavirus disease (COVID-19) pneumonia may be nonspecific, some characteristic imaging findings "have emerged or are currently…
Whole body diffusion-weighted magnetic resonance imaging (DW MRI) may aid in the assessment of cancer treatment response in children and youth at much lower levels of radiation than current approaches, suggests a small study funded by the National Institutes of Health. The results appear in Radiology. Researchers compared DW MRI, which measures the density of tumors by tracking the movement of…
Coronavirus can be identified automatically from sick patients’ lung X-rays using artificial intelligence (AI) developed at Brunel University London.
As the first country to be hit by COVID-19, China learned a number of early lessons into how to combat the highly-infectious disease. With radiology teams playing an important role and utilising CT chest scans as a diagnostic tool against coronavirus, Chinese practitioners have found themselves well-placed to offer a valuable insight on how to combat and contain COVID-19. In a special webcast –…
To deal with the COVID-19 outbreak, the continuity of the radiology reporting activities is crucial. To guarantee this, care providers are expanding the remote reporting capabilities for their radiology teams. As part of their #StrongerTogether campaign, Agfa HealthCare demonstrates how remote and home reporting solutions can keep imaging workflows going across quarantine lines.
Radiology experts from Norway and Germany highlighted the role of structured reporting in communicating clear results to the rest of the team, to improve patient and staff safety during the pandemic. They also related Germany’s experience of the crisis and what lies ahead in an online conference organized by the European Society of Radiology (ESR) last week.
Hsinhan Tsai and a research team in materials, nanotechnology, nuclear engineering and X-ray science at the Los Alamos National Laboratory and the Argonne National Laboratory in the U.S. demonstrated a new thin film X-ray detector prototype.
Synapse VNA is the true-VNA application for the content management of images and medical information at the enterprise level; it is an open storage solution, secure, scalable, standard-based and focused on medical data, DICOM and native non-DICOM objects coming from any medical departmental system. Synapse VNA is a patient-centric Vendor Neutral Archive that can be configured to manage the data…