Dr Francis Zarb, senior radiography lecturer at the University of Malta, outlined challenges in correctly positioning patients needing musculoskeletal imaging. During our interview, he also offered a brief insight into the use of artificial intelligence (AI) in radiography today.
The Artificial Intelligence (AI) landscape confronting the radiographer profession will be outlined in sessions at ECR 2020, with leading practitioners urging the need for an evidence-based approach in order to deliver a safe and effective service for patients. The session, under the broad heading of “Artificial intelligence and the radiographer profession”, aims to discuss AI within the…
There are major complications from COVID-19 – ARDS, pulmonary embolism and neurological – that imaging can help detect, manage and/or follow up in the long term, radiologists from France and the UK explained during a recent ESR Connect session. ARDS is the most dreaded complication and the number one morbidity in COVID-19 patients. The incidence was up to 30% of patients in initial reports.…
The AI-Rad Companion family supports radiologists, radiation oncologists, radiotherapists and medical physicists through automated post processing of MRI, CT and X-ray datasets. It saves the clinicians' time and helps them to increase their diagnostic precision.
Better outcomes, more favourable prognoses – oncologists and their lung cancer patients didn’t dare to dream about it. Finally, there might be hope. The so-called checkpoint inhibitors (immunotherapy drug) have been used successfully, albeit not for every patient. They are a double-edged sword, with risks as well as opportunities, as explained by Professor Cornelia Schäfer-Prokop.
CT has a critical role to play in management of mass casualty incidents with the ability to image patients from head to toe, offering a rapid overview for clinicians. The benefits of CT were outlined by Dr Elizabeth Dick during an ECR session examining the role of radiology in the management of mass casualty incidents, terror attacks and assaults.
The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…
Thales’ expert knowledge in digital technology as well as in hardware and software systems has enabled the company to become a market leader in major innovation fields such as the cloud, connectivity and artificial intelligence. Thales is proud to launch its unique Connected Radiology platform which will bring multiple benefits to the efficiency of hospitals through the non-stop use of…
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.
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 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…
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…
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 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…
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…
