Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex. Currently, only two-thirds of people with dementia in the UK receive a formal diagnosis, and many receive it late in the disease process, meaning that a large number are…
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…
Prostate cancer is the second cause of cancer-related death in men. Currently, its diagnosis occurs via imaging and must be confirmed by biopsy. Simona Turco from the Eindhoven University of Technology (TU/e) wants to improve prostate cancer diagnosis by using machine learning algorithms to localize tumors and thereby replace entirely the necessity for biopsies. Besides, by combining this with…
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…
Bringing the power of AI to routine imaging, Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical’s Deep Learning Reconstruction (DLR) technology, is now being integrated across a broader portfolio of scanners with a wider range of clinical applications across modalities. Advanced intelligent Clear-IQ Engine (AiCE) was trained using vast amounts of high-quality image data, and features a…
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.
Although breast cancer (BC) mammography screening enables early detection of breast cancer, mammography presents issues such as variability between the radiology readings and shortage of radiologists. This area of medical imaging is where artificial intelligence (AI) could help make the biggest difference and improve patient outcome.
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…
With over 100 exhibitors at the annual Radiological Society of North America conference using NVIDIA technology to bring AI to radiology, 2019 looks to be a tipping point for AI in healthcare. Despite AI’s great potential, a key challenge remains: gaining access to the huge volumes of data required to train AI models while protecting patient privacy.
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…
Scientists from the Case Western Reserve University digital imaging lab use Artificial Intelligence (AI) to predict which lung-cancer patients will benefit from expensive immunotherapy. This is done by teaching a computer to find previously unseen changes in patterns in CT scans taken when the lung cancer is first diagnosed compared to scans taken after the first 2-3 cycles of immunotherapy…
Artificial intelligence (AI) opens up a host of new diagnostic methods and treatments. Almost daily we read about physicians, researchers or companies that are developing an AI system to identify malignant lesions or dangerous cardiac patterns, or that can personalise healthcare. ‘Currently, we are too focused on the topic,’ observes Professor Christian Johner, of the Johner Institute for…
AI has made headlines for years, including in such scientific publications as ‘Nature’, an indication of its high relevance, according to Dr Tobias Müller, Head of Digital Transformation at the Rhön-Klinikum AG. However, he also delivers a note of caution because studies are often aimed at demonstrating the equivalence of AI-based diagnoses with those made by doctors. ‘You have to read…
With the right tools, physicians could transform the lives of patients and scientists. For Kimberly Powell, Vice President of Healthcare at NVIDIA, artificial intelligence is such a tool, and could meet the increasing demand for personalised medicine and next-generation clinics. ‘AI is the biggest technological breakthrough of our lifetime.’
From Augmented Reality to Robotics, and all exciting technologies in between, the Taiwanese companies present at Medica always manage to impress visitors with health tech innovations. In co-operation with the Bureau of Foreign Trade (BOFT) of the Taiwanese Ministry of Economics and the Taiwan External Trade Development Council (TAITRA), 20 elite healthcare companies put on display their…
Health tech Made in Taiwan is among the mainstays of every MEDICA; this year’s fair is no exception. In co-operation with the Bureau of Foreign Trade (BOFT) of the Taiwanese Ministry of Economics and the Taiwan External Trade Development Council (TAITRA), 20 world-class healthcare companies are demonstrating innovative medical solutions based on national advances in Artificial Intelligence…
September: Basel, Switzerland: ‘Intelligent Health 2019’, a conference dedicated to artificial intelligence (AI) in medicine, underlined the growing interest by the rising number of attendees – 1,400 in 2018, its first year, to 2,027 this year. With examples of AI use from around the world, the common thread throughout was how AI can serve humankind by enabling better understanding of…
From an initial focus on innovative manufacturing, in-house ICT technologies drove production efficiency and quality. Today, Taiwan has advanced to become a leader with its "Asian Silicon Valley" concept. The government also wants to further strengthen Taiwan's key position by independently developing medical products that meet the high demands of international markets – at…
For the first time, researchers from Helmholtz Zentrum München and the University Hospital of LMU Munich show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia (AML). Their proof of concept study paves the way for an automated, standardized and on-hand sample analysis in the near future. The paper was…
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.
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 a session held during a SITEM School Symposium in Bern, Switzerland. Whilst AI has potential, actually delivering that asset in to routine medical practice remains a major challenge.
Chemical analysis of blood samples, combined with an artificial intelligence program, could speed up the diagnosis of brain tumours, according to research presented at the 2019 NCRI Cancer Conference. Brain tumours tend to have ambiguous symptoms, such as headache or memory problems, and a brain scan is currently the only reliable way of diagnosing them. Researchers say their test, which works by…
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…
A robot-controlled laboratory where decisions are made by artificial intelligence will change the way new drugs are discovered, says a leading researcher. The engineer leading a project to develop a prototype "lab-bot" says it will reduce the time it takes to identify and synthesise molecules for new medicines – a process that can take years as scientists refine the shape and property…
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…
