Keyword: radiology

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New

Improving hospitals’ time efficiency via a Connected Radiology platform

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…

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Early detection

Lung cancer screening: ESR welcomes release of NELSON trial results

The publication of the results of the Dutch-Belgian lung cancer screening trial (NELSON) supports recent calls to introduce lung cancer screening programmes throughout Europe. In light of the scientific evidence, lung cancer screening should be firmly embedded in any initiative launched by the European Commission and the Member States in the fight against cancer. As the leading cause of death…

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Enhancing imaging workflows

REiLI – Fujifilm medical AI technology

Under the REiLI brand, Fujifilm is developing AI technologies that strongly support diagnostic imaging workflow, leveraging the combination of deep learning in its AI technology with Fujifilm's image processing heritage. Fujifilm AI initiative aims to help clinicians better understand and treat numerous health issues affecting our population by applying deep learning. During ECR 2020 (11-14…

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Quicker and better diagnosis

Revolutionizing medical imaging and analysis with AI

We are at the beginning of a new era in radiology – Artificial Intelligence – and Fujifilm is here to brief you how AI can advance radiology performance and clinical workflow. Visit us at the European Congress of Radiology 2020 (ECR 2020) and experience the Fujifilm’s new clinical imaging portfolio and IT solutions empowered by AI. Try to see a new holistic way to elevate your approach to…

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Enterprise imaging

Cut through the AI hype

It’s time to cut through the hype surrounding artificial intelligence and begin to understand the reality in terms of application in radiology. With many different algorithms available that cover a growing array of diagnostic and interpretational areas, Dr Anjum Ahmed believes hospitals and care providers now need to ask the right questions when weighing up AI implementation in their clinical…

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Cystic lesions of the pancreas

A more complex question than ‘good’ vs ‘bad’

Cystic lesions of the pancreas can occur in many forms, not all of which pose a serious threat to the patient. A thorough diagnosis using multi-modality imaging is therefore indispensable to differentiate between benign and malignant lesions. We spoke with Professor Valérie Vilgrain, from Hôpital Beaujon, Hôpitaux Paris-Nord Val de Seine, in Clichy, France, about the prevalence of cystic…

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Underrated technique

Pitfalls in pelvic CT imaging

Computed tomography (CT) plays an increasingly important role in assessing pelvic disease, particularly when patients present with acute abdominal pain. In addition, radiomic approaches on CT are being developed to increase the characterisation of ovarian cancer for optimising treatment planning. The subject, and wider role of CT in pelvic conditions, will be the focus of a presentation –…

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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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