Keyword: AI

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From the "Asian Silicon Valley"

Taiwan's R&D centers deliver continuous innovation in MedTech

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…

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Deep learning vs. AML

AI-driven blood cell classification supports leukemia diagnosis

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…

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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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Chemical clues

AI blood test can spot signs of brain tumour

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…

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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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Cognitive chemical manufacturing

‘Lab-bot’ could revolutionise hunt for cancer drugs

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…

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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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Better image quality with fewer sensors

Machine learning improves biomedical imaging

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…

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Cardiology

AI identifies genes linked to heart failure

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…

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RiskCardio

Using machine learning to estimate risk of cardiovascular death

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…

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AI in diagnostics

Learn like a human, deduce like a machine

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?

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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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Workforce challenges

Pathologists will hold a pivotal role

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…

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Watson on the case

Personalised cancer care through AI

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…

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Neural network approach to ECG

AI detects heart failure from a single heartbeat

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…

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Fat radiomic profile

Using AI to predict heart attacks

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…

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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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Upgrade your knowledge

Symposium: AI in medical imaging

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…

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Seeking the right questions

Developing algorithms to assist routine pathology

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…

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CAS 'Artificial Intelligence in Medical imaging'

Advance your AI skills in Bern

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…

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Human-Computer Interaction

Shaping the laboratories of the future

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 in Stuttgart, Germany, during the recent SLASEurope2019 conference in Barcelona, which brought together more than…

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Artificial selection

Improving clinical trial recruitment with AI

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…

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Agreement

French academic hospital deploys Philips imaging solution

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…

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