Keyword: radiology

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Deep learning & CNN

Algorithm differentiates small renal masses on multiphase CT

A deep learning method with a convolutional neural network (CNN) can support the evaluation of small solid renal masses in dynamic CT images with acceptable diagnostic performance, according to an article published ahead-of-print in the March issue of the American Journal of Roentgenology (AJR). Between 2012 and 2016, researchers at Japan’s Okayama University studied 1807 image sets from 168…

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DeepMind to help human radiologists

Google-powered AI spots breast cancer

A computer algorithm has been shown to be as effective as human radiologists in spotting breast cancer from x-ray images. The international team behind the study, which includes researchers from Google Health, DeepMind, Imperial College London, the NHS and Northwestern University in the US, designed and trained an artificial intelligence (AI) model on mammography images from almost 29,000 women.…

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WB-MRI vs. prostate cancer

Whole-body MRI improves disease evaluation

Whole-body magnetic resonance imaging (WB-MRI) is championed as offering significant benefits, such as improving disease evaluation for prostate cancer patients. During an intense session in genito-urinary cancer at the ECR 2019, three key speakers focused on the advantages over conventional imaging modalities – including bone and CT scans – as well as discussing new PET (Positron Emission…

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The future has begun

Cancer care 2035: multi-disciplinarity is key

An enthralling insight into the care that could be offered to cancer patients of the future was presented by cancer imaging expert Professor Regina Beets-Tan during her a keynote presentation at the recent British Institute of Radiology congress. In the session ‘Oncologic imaging: Future perspectives’, the professor outlined what a Multi-Disciplinary Team (MDT) of the future – a team in…

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Emerging Technologies in Medicine

AI and Microlearning in focus at ETIM 2020

Complex challenges require interdisciplinary approaches. To find out at first hand which topics are of interest to experts is the key objective of ETIM 2020 (Emerging Technologies in Medicine), which is held from February 28-29 in Essen, Germany. Be there when experienced physicians, engineers and computer scientists talk about future topics in radiology. And after the lectures, take advantage of…

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Radiology + data + AI = ?

Today and future radiomics

Radiomics is one of the most exciting topics in radiology. It involves data and artificial intelligence (AI) but very few people know or understand the details. In her lecture ‘How does Radiomics work?’, presented at the German Radiology Congress in Leipzig, Professor Ulrike Attenberger outlined how radiomics will advance radiology but also the obstacles faced along the way.

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DR 100s at RSNA 2019

Agfa launches a new force in mobile DR

Agfa announces that it will launch the DR 100s high-productivity, ergonomic, mobile DR imaging solution, at RSNA 2019. With a customer-driven design that meets the needs of today’s healthcare environments, the DR 100s delivers a new force in mobile imaging. It combines agility, excellent DR image quality, fast image preview and a broad range of applications, including Chest, Abdomen, Skeletal…

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Smart devices and more

New GE imaging tech and intelligent apps unveiled at RSNA

At RSNA 2019, GE Healthcare launches more than 30 new, imaging intelligent applications and smart devices designed to drive efficiency in radiology departments, aiming to double productivity and cost savings for systems by 2025. For healthcare executives, the new offerings help systems to save costs, improve technology utilization, and increase patient volumes. Clinicians also will benefit from…

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Research & development

Fujifilm presents R&D advancements in AI for Digital Radiography

Fujifilm Medical Systems U.S.A., Inc. will present research and development advancements in Artificial Intelligence (AI) for digital radiography at McCormick Place in Chicago during the 105th scientific assembly and annual meeting of the Radiological Society of North America (RSNA) from December 1 – 6, 2019. "AI has the potential to bring a wealth of advancements to the medical imaging…

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Report by the British Institute of Radiology

AI is the future of imaging

Medical and professional leaders in radiology overwhelmingly believe artificial intelligence (AI) will be the most positive development for their sector and their professions in the coming decade, according to a report by the British Institute of Radiology (BIR) published today.

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Transferring research into daily routine

AI possibilities and probabilities

Although some people foresee artificial intelligence (AI) easing medical workloads, many challenges arise before that dream can begin. Dr Felix Nensa and Dr Bram Stieltjes described such hurdles in an ‘Artificial Intelligence in Medical Imaging’ session held during a SITEM School Symposium in Bern, Switzerland. Whilst AI has potential, actually delivering that asset in to routine medical…

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Digital tomosynthesis

Carestream previews DT innovations at RSNA

Carestream will introduce a three-dimensional extension of general radiography through its Digital Tomosynthesis (DT) functionality (Pending FDA 510(k) clearance) at this year’s Radiological Society of North America conference in booth #7513, North Hall. Simplifying workflow and reducing exam time, Carestream’s DT technology is an upgradable option on the DRX-Evolution Plus System. This DT…

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Comfortable, fast and secure

Webinar: Quick Report and Image Transmission to the Referring Physician

With the medavis REFERRER PORTAL your referrers have easy online access to the reports and studies you created. The web-based portal works with any RIS via standard HL7 interfaces to create a smooth workflow. Reports and images are automatically transmitted to the portal in the background as soon as you release them in your RIS. The referrers can then easily access their patients’ data – from…

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Artificial intelligence in radiology

Assessing the AI revolution

How will artificial intelligence (AI) affect continuing education and management in radiology? This issue was discussed by an expert panel at the ESR AI Premium meeting in Barcelona. Continuing education – It must be clear what radiologists need to learn about AI; one way to go could be to give it more space in the training curriculum, according to Elmar Kotter, deputy director of the radiology…

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Statement from ESR and major North American radiology organisations

On the ethics of AI in radiology

Experts in the use of artificial intelligence (AI) in radiology, from many of the world’s leading radiology, medical physics and imaging informatics groups, published an aspirational statement to guide the development of AI in radiology. The multi-society statement focuses on three major areas: data, algorithms and practice. Simultaneously published in the Journal of the American College of…

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Artificial intelligence

Superlative future assistance

As a member of the European Congress of Radiology (ECR) planning committee Professor Elmar Kotter suffered no serious challenge in pinpointing subject matter for the IT sessions. More than 300 submissions were received on artificial intelligence (AI). From the presentations, Kotter, Professor of Radiology and Senior Consultant at the Clinic for Diagnostic and Interventional Radiology, at the…

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X-ray parts

CE Mark for ALTA750 CT replacement tube

Richardson Healthcare announced it has received CE Mark approval for its ALTA750 X-Ray Tube, a form, fit and function replacement for the Canon/Toshiba CXB-750D/4A. Richardson ships the tube with a new cable and heat exchanger, and offers a full warranty. The CE Mark confirms that the product meets the requirements of the European Medical Device Directive, and signals conformity to patient and…

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High tissue contrast, spatial detail, complete tissue characterisation

MRI shows cardiac diagnostic value

Cardiovascular magnetic resonance (CMR) imaging has become faster, simpler and more widely available in recent years because it has evolved to deliver effective assessment and diagnosis of a range of heart conditions with expanding guideline indications. ‘MRI is the reference test for anatomical imaging of the heart, for quantifying chamber sizes and function,’ explains Professor Sven Plein,…

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Cardiology & radiology

AI opens up boundaries between medical disciplines

Uwe Joseph Schoepf, Professor for Radiology, Cardiology and Paediatrics and Director of the Department of Cardiovascular Imaging at the Medical University of South Carolina, discusses areas of application for AI-based radiology. The cardiothoracic imaging expert and his team were largely involved in the development and early clinical trials of the Siemens AI-Rad Companion Chest CT, a software…

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Tricuspid insufficiency

Healing the heart’s right chambers

Most people think their heart is located on the left side of their chest, and this is also the direction science has looked, so far. However, just as the heart sits at the centre of the chest, disease also affects the right side of the organ. Cardiologists must now look right to improve patient prognosis, according to Professor José Luis Zamorano, Vice President of the European Society of…

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100th birthday of Sir Godfrey Newbold Hounsfield

The legacy of the man who pioneered computed tomography

On the centenary of his birth, Mark Nicholls reflects on the life and legacy of Nobel laureate Sir Godfrey Newbold Hounsfield, the man who pioneered computed tomography. It was a discovery that came from a moment of inspiration during a country walking holiday; the idea that one could determine what was inside a box by taking X-ray readings at all angles around the object. From that, Sir Godfrey…

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