AI has made an extraordinary qualitative jump, particularly in machine learning. This can help quantify imaging data to tremendously advance both pathology and radiology. At a recent meeting in Valencia, delegates glimpsed what quantitative tools can bring to medical imaging, as leading Spanish researcher Ángel Alberich-Bayarri from imaging biomarker company Quibim unveiled part of his work.
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…
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.
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…
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…
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…
Imagine being able to install a new MRI anywhere with almost no external restrictions. Based in Ulm, Germany, lnterflex Medizintechnik GmbH has supplied systems for Faraday cages and exclusive MRI interiors since 2005. In addition, all MRI-providers have relied on the international experience of this firm. “The Intercabin shielding room ensures the operating reliability of modern MRI-systems.…
Small spots on CT scans of the lungs of children with muscle cancer do not have an adverse effect on survival. This conclusion has direct consequences for the treatment of the disease.
Jincheon National Training Center installed a Carestream OnSight 3D Extremity System. They are the most comprehensive training center for national athletes and have a total of 166,330 square meters of indoor and outdoor training facilities and support facilities capable of accommodating about 1,150 people for a total of 37 sports events including athletics, baseball, and swimming. They created an…
A team of researchers from the Icahn School of Medicine at Mount Sinai and Keck School of Medicine at the University of Southern California (USC) have developed a novel machine-learning framework that distinguishes between low- and high-risk prostate cancer with more precision than ever before. The framework, described in a Scientific Reports paper, is intended to help physicians—in particular,…
In his talk at the Garmisch Symposium, entitled “MRI in 5 minutes – Dream or Reality?” Dr. Daniel Sodickson of the New York University School of Medicine will give attendees a preview of the MR scanners of the future, which he likens to self-driving cars. Sodickson — a professor and vice chair for research in the department of radiology at NYU, a principal investigator at the Center…
Longer hours, more demanding working practices, complex cases and increased administration are taking their toll on physicians as growing numbers, across a range of specialties, report signs of burnout. All this despite technological advances such as artificial intelligence and machine learning to aid diagnosis, read and interpret images, improve workflow and enhance decision-making.
Today, artificial intelligence (AI) can be found everywhere: in our cars, our smartphones and even our working environments. AI has many areas of application, including in the healthcare sector. AI will change the interaction between doctors and patients, but most patients won’t even know it’s involved. That’s because improving the patient experience, helping to increase productivity,…
Artificial intelligence (AI) will increase efficiency and improve quality as well as clinical outcomes – and thus strengthen rather than weaken the role of radiologists, said Dr Joon Beom Seo at ECR 2018. A spectre is haunting radiologists – the spectre of artificial intelligence. Is AI about to replace radiologists? Wrong question,’ declared radiologist Dr Joon Beom Seo, professor at the…
Communicating radiation risks is not only a legal requirement, it is also a moral obligation, asserts Dr Shane J Foley, radiographer and assistant professor at the UCD School of Medicine in Dublin, Ireland. Passing on radiation information has its pitfalls, but several helpful tools can improve communication, some of which the expert highlighted during ECR 2018.
Researchers are using artificial intelligence to reduce the dose of contrast agents like Gadolinium that may be left behind in the body after MRI exams, according to a study presented at the annual meeting of the Radiological Society of North America (RSNA).
New 7-Tesla MR methods could potentially shed light on cardiomyopathies’ principles, according to a leading French radiologist who also stresses the importance of teamwork between radiologists, cardiologists, surgeons and anaesthesiologists. Morphologic and dynamic information of the myocardium is achieved with millimetric resolution (0.9x0.9 square mm). Strong intensity variations…
Professor Marc Dewey, Vice Chair of the Department of Radiology at Charité - Universitätsmedizin Berlin, made value-based radiology the main theme of the Wilhelm Conrad Röntgen Honorary Lecture during ECR 2018. Radiology practice needs change, he said, and radiologists should grasp at new technology to drive their future. His lecture was summarised in a recent comment in The Lancet.
Cyberbloc FP-S is the 'New Born Compact' in a large range of C-Arms. With more than 40 years of experience in the production of C-Arms, Cyberbloc FP-S brings together 'All-In-One' the high-tech performances of our C-Arm range in a compact version. Without monitor cart, this perfect combination between ergonomics, image quality and manoeuvrability will make for the operator all surgical…
Growth! New hardware, new software, richer imaging, enhanced communication and image transfer plus artificial intelligence (AI) are all pushing the pace that medical organisations, radiologists and device manufacturers must run to keep up. We spoke with Dr Erik Ranschaert, President of EuSOMII, about today’s changing face of radiology.
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.
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…
Manchester United Football Club has announced a renewed multi-year agreement with Canon Medical Systems Europe as its official medical systems partner. The unique partnership will ensure that world-class players continue to gain instant access to advanced imaging equipment to examine injuries and undertake pre-emptive screening for preventable injuries, improving player welfare and maintaining…
