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Article • 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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Article • 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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News • 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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News • 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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News • 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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News • ‘Smart’ approach to AF

mHealth to help detect atrial fibrillation

A new study, presented as ‘Late Breaking Science’ at the European Society of Cardiology (ESC) annual congress, highlights the feasible use of mobile health (mHealth) devices to help with the screening and detection of atrial fibrillation (AF), a common heart condition. AF causes an irregular and sometimes, abnormally fast heart rate. The heart’s upper chambers (atria) contract randomly and…

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News • Catheter ablation support

Software lets surgeon see real-time 3D map of heart

Innovative software that allows a surgeon to view inside a patient’s heart in real time while applying treatment has been used for the first time in the UK in operations at the National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC). University of Leicester Professor and Leicester’s Hospitals Cardiologist Andre Ng used the new technique in operations on two…

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News • In focus

Universal algorithm set to boost microscopes

Scientists from EPFL have developed an algorithm that can determine whether a super-resolution microscope is operating at maximum resolution based on a single image. The method is compatible with all types of microscopes and could one day be a standard feature of automated models.

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News • 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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News • Watching the change

Predicting cancer risk with computational electrodynamics

Researchers from Northwestern University are using Argonne supercomputers to advance the development of an optical microscopy technique that can predict and quantify cancer risks at extremely early stages. The basic principle driving Allen Taflove’s computational electrodynamics research — which bears the potential to transform how we diagnose, and possibly treat, various forms of cancer —…

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News • Personalised medicine

Why digital twins could be the ideal therapy testbed

Advanced computer models of diseases can be used to improve diagnosis and treatment. The goal is to develop the models to “digital twins” of individual patients. Those twins may help to computationally identify and try the best medication, before actually treating a patient. The models are the result of an international study, published in the open access journal Genome Medicine.

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Video • Miniscule swimmers

Microrobots could re-shape drug delivery

Scientists have developed minute flexible robots that could help revolutionise drug delivery in the future. These ‘microrobots’ are so small that they could be ingested, or inserted into human veins to deliver drug therapies directly to diseased body areas.

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Article • Is the problem also the solution?

Why digitisation pushes (and prevents) physician burnout

Deployment of electronic health records (EHR) are increasingly cited as a factor in physician burnout. However, a senior figure with the Healthcare Information and Management Systems Society (HIMSS) – which supports the transformation of health through information and technology – believes defined use of data and information can help off-set the impact of burnout among health professionals.…

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News • 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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News • Symptoms & side effects

Digital monitoring for cancer patients ‘highly successful’ in trials

In the wake of an already devastating cancer diagnosis, European cancer patients often grapple with debilitating symptoms and side effects. For these patients, the eSMART (Electronic Symptom Management System Remote Technology) trial provides new hope for improved management of the side effects and symptoms of cancer, and with it, improved quality of life. Now, the eSMART Consortium presented its…

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Video • Innovation award IERA

This robot destroys hospital bugs

The 15th Innovation and Entrepreneurship Award in Robotics and Automation (IERA) goes to the “UVD Robot” by Blue Ocean Robotics. The collaborative robot autonomously drives around hospitals while emitting concentrated UV-C light to eliminate bacteria and other harmful microorganisms. As a result, hospitals can guarantee a 99.99% disinfection rate – reducing the risk for patients, staff and…

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Article • Avoiding incidents

The digital early warning system

Staff shortages are among the most urgent healthcare problems. While digitisation might offer relief, unfortunately many hospitals lag behind in transforming their processes. As pressure mounts, the chorus is heard: ‘It’s high time for bold changes’. Indeed, this was the motto of the 2019 Western German Health Congress held in Cologne, an event that focuses on health policy and health…

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Article • Will machines take over?

AI? We shouldn’t worry about it – yet

Humanity is not doomed to submit to machines as in the Terminator movies – or at least not yet. Artificial intelligence (AI) systems are still far from capable to imitate the human brain in all its complexity. Yet there is no doubt that AI will have a global and huge impact, particularly for professionals such as radiologists, who should look at AI critically and focus on the many new…

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Article • A look into the crystal ball

Experts debate predictive potential of AI

‘Hello, John? You are about to suffer a heart attack – please come to the hospital immediately!’ Will we, one day, be collected by emergency doctors even before we’re ill? If it was up to some AI experts at Medica, this could be the case – soon. Some obstacles must yet be overcome to achieve perfect AI predictions. Yet, during Medica, some IT experts ventured to gaze into a crystal ball.

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News • MCG motion capture

The world’s first precision motion analysis and digital care company

A team of seasoned European healthcare entrepreneurs announced the foundation of MCG motion capture GmbH (MCG), the world’s first precision motion analysis and digital care company. The team combines decades of expertise in the medtech, digital health and biopharmaceutical industry, including big data integration, analysis for decision support, and long-standing experience in clinical trials as…

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Article • Preview Medical Taiwan 2019

Healthcare exhibition showcases technology from Taiwan

Artificial intelligence clinics and rehab bikes, exoskeletons and stylish protections masks – healthcare in Taiwan has many faces and facets as the international medical & healthcare exhibition Medical Taiwan in Taipei will show from 27 to 30 June 2019. We visited participating companies and hospitals to give you a sneak preview of some of the highlights that might well create a buzz in…

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News • Computational medicine

Using virtual populations to create safer medical devices

The current innovation process for medical technologies risks stifling the development of new devices, a leading researcher has argued. Alejandro Frangi, Professor of Computational Medicine at the University of Leeds, says the present system was geared towards small, incremental changes to existing technology or the development of new technologies that work for ‘most’ people but are…

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News • Health Innovation Night

Digitization: New therapy approaches for the patient 'hospital'

Digitalization offers great potential for hospitals: diseases can be detected earlier, internal processes more efficiently organized, health expenditure reduced and patients better cared for. Artificial intelligence, robotics, sensor technology, big data, additive manufacturing or augmented reality - the technologies for this have long been available.

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