Radiology

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Article • Disruptive technologies

No way to stop the waves of change, but radiologists can learn to surf

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…

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Article • Image analysis in radiology and pathology

"The time has come" for AI

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.

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Article • Maps of the brain

7-Tesla MR enters clinical routine

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.

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Sponsored • Stand-alone MRI

lntercube means flexibility

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.…

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News • Cone beam CT

Korean Olympian team benefits from OnSight 3D Extremity System

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…

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News • Accuracy improvement

Predicting prostate cancer with radiomics and machine learning

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,…

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Article • Advancing radiology

Giving MRI a boost – and a brain

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…

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Article • Under pressure

Physician burnout cases are rising

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.

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News • Future healthcare

AI in radiology: beyond imaging

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,…

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Article • 'Is it safe?'

Effective communication on radiation risks

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.

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Article • AI in radiology

Augmented intelligence rather than artificial

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…

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Article • Teamwork <3

7-Tesla: Multidisciplinary care is key to cardiac disease management

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…

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Article • The ‘bionic’ radiologist

Three steps towards the future of radiology

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.

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Article • Future of radiology

'Radiologists who do not use AI will be replaced by those who do'

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.

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Sponsored • Imaging

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Article • Innovations

Aiding radiologists to stride forward

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.

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Article • AI structure

Machine Learning: into the pumpkin patch

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…

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News • Cooperation

Manchester United and Canon join up for world-class player imaging

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…

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Article • Artificial Intelligence

AI allocates cases to the right radiologist

Synergy is key to ensuring Artificial Intelligence (AI) can play a critical role in helping radiologists raise their game. Integrating AI with innovative platforms to optimise workflow and make diagnosis more efficient, whilst also creating more accurate reports, offers enormous potential benefits to patients, clinicians and hospitals, according to industry specialist Tomer Zonens, Worldwide…

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Article • The revolution escalates

AI image analysis: Opportunity or threat?

'Image Computing, including image analysis, artificial intelligence, artificial neural networks und deep learning, is starting a revolution,’ says Dr Paul Suetens, professor of Medical Imaging and Image Processing at University Hospital Leuven. Artificial Intelligence (AI) is not new – research in this field was carried out as far back as the 1950s – but, whilst in the early days AI learnt…

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Article • A valuable assistant

AI will transform radiologists into data scientists

Machine learning is increasingly helping radiologists to acquire faster and better quality images, and measure heart function. This is just the tip of the iceberg; artificial intelligence has far more to bring to the heart, explained Daniel Rueckert, Head of the Department of Computing at Imperial College London, during CMR 2018. Machine learning (ML) is becoming a valuable assistant for…

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Article • A challenger arrives

AI – just a tool or the future of healthcare?

Neuroscientist Lynda Chin MD, Founder and CEO of Real-world Education Detection and Intervention, has little doubt: ‘Artificial intelligence to the rescue,’ she proclaimed in her keynote address at the Artificial Intelligence and Machine Learning Summit, held in Las Vegas this spring. ‘We need a system and analytics to interpret data!’ she urged, despite being well aware that building a…

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