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…
Scientists at ETH Zurich and the University of Zurich have used machine learning methods to improve optoacoustic imaging. This relatively young medical imaging technique can be used for applications such as visualizing blood vessels, studying brain activity, characterizing skin lesions and diagnosing breast cancer. However, quality of the rendered images is very dependent on the number and…
The Queen Mary University of London team applied an artificial intelligence (AI) technique to analyse the heart MRI images of 17,000 healthy UK Biobank volunteers. They found that genetic factors accounted for 22-39 per cent of variation in the size and function of the heart’s left ventricle, the organ’s main pumping chamber. Enlargement and reduced pumping function of the left ventricle can…
Humans are inherently risk-averse: We spend our days calculating routes and routines, taking precautionary measures to avoid disease, danger, and despair. Still, our measures for controlling the inner workings of our biology can be a little more unruly. With that in mind, a team from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) came up with a new system for better…
Artificial Intelligence (AI) is like a huge blanket that can cover anything from innocuous chess computers to robots which, depending on your viewpoint, could save, oppress or obliterate humanity. However, not every jar labelled AI contains AI. So what is intelligence and can it be created artificially, synthesised like a nature-identical flavouring substance?
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…
Amid ever-growing demand for services, significant challenges face the pathology workforce in the years ahead but – there are also good opportunities. With advances in technology and the advent of artificial intelligence as a decision-making support tool, Professor Jo Martin, President Royal College of Pathologists (RCPath) in the UK, believes there remain opportunities for pathology to play a…
Pathology is embracing digitisation just as radiology did over 20 years ago and both specialties are looking at new ways to integrate each other in their workflows. AI could fuel this sparkling alliance, giving it further means to improve cancer treatment.
The Geneva University Hospitals (HUG) is the first European university hospital to utilize IBM’s artificial intelligence (AI) technology to help uncover therapeutic options for cancer patients. HUG will use the IBM Watson Health’s precision oncology offering, Watson for Genomics, an AI tool that enables oncologists to provide patients with more personalized, evidence-based cancer care. Using…
Researchers have developed a neural network approach that can accurately identify congestive heart failure with 100% accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat, a new study reports. Congestive heart failure (CHF) is a chronic progressive condition that affects the pumping power of the heart muscles. Associated with high prevalence, significant mortality rates and…
Technology developed using artificial intelligence (AI) could identify people at high risk of a fatal heart attack at least five years before it strikes, according to new research funded by the British Heart Foundation (BHF). The findings are being presented at the European Society of Cardiology (ESC) Congress in Paris and published in the European Heart Journal. Researchers at the University of…
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…
La Fe University and Polytechnic Hospital in Valencia, Spain, is coordinating EU-funded program PRIMAGE, which uses precision information from medical imaging to advance knowledge of the most lethal paediatric tumours, by establishing their prognosis and expected treatment response using radiomics, imaging biomarkers and artificial intelligence (AI).
In a symposium on September 9, 2019, the School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, provides an overview about current trends in artificial intelligence (AI) in medical imaging. From 8.30 to 17.00, participants in sitem-insel, Freiburgstraße, Bern will learn about the principles of AI as well as innovative applications in the…
Artificial Intelligence (AI) is destined for a significant role in assessing histology data but the key to developing the necessary algorithms lies in data quality – rather than the quantity, according to Professor Jens Rittscher. He also warns that we are some distance from seeing AI replacing human pathologists in this scenario, primarily because presently the risks of automated…
The School for Translational Medicine and Biomedical Entrepreneurship (sitem-insel School) in Bern, Switzerland, offers a new Certificate of Advanced Studies (CAS) in Artificial Intelligence in Medical Imaging. The course aims to equip Medical Doctors (MDs) with the necessary skills to take a leading role in the AI-driven transformation of medicine. The course program was developed for medical…
The need to effectively address HCI – Human-Computer Interaction – is emerging as the key challenge in creating a productive and efficient laboratory of the future. The subject was examined in detail by Andreas Schuller from the Fraunhofer Institute for Industrial Engineering, during a conference in Barcelona, which brought together more than 1,000 scientists and technologists.
Clinical trials are a critical tool for getting new treatments to people who need them, but research shows that difficulty finding the right volunteer subjects can undermine the effectiveness of these studies. Researchers at Cincinnati Children’s Hospital Medical Center designed and tested a new computerized solution that used artificial intelligence (AI) to effectively identify eligible…
Royal Philips and Centre Hospitalier Régional Universitaire (CHRU) de Nancy, a leading academic hospital in the Grand Est region of France, announced a 10-year agreement to implement Philips’ IntelliSpace Enterprise Imaging Solution, including Illumeo with adaptive intelligence. CHRU de Nancy is a public health institution that provides 1.2 million consultation visits and inpatient stays each…
Treating physicians need information about the molecular subtype of the tumor if they are to provide targeted therapy for colorectal carcinoma. A research team from University Hospital Zurich and the University of Oxford have now developed a method to predict the molecular classification of colorectal cancer from digital pathology slides.
