#big data

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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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Opinion

Cloud computing vs. edge computing: rethinking healthcare infrastructure

Cloud computing isn’t exactly a new concept in the healthcare industry. Its benefits have become increasingly well-known across the sector and, without it, we wouldn’t have many health-related services that both healthcare professionals and patients now rely on. It’s no surprise then that the European healthcare cloud computing market is expected to be worth around £44 billion by 2025.…

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Symptom study app

AI diagnostic to predict COVID-19 without testing

Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence (AI) diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published in Nature Medicine. The AI model uses data from the COVID Symptom Study app to predict COVID-19 infection, by comparing…

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Calculating course and resolution

New COVID-19 model predicts light at the end of the tunnel

COVID-19 has infected millions and killed hundreds of thousands of people worldwide, but a new predictor model devised at the Queensland University of Technology (QUT) offers glimmers of hope, suggesting the worst has passed and indicating well under 1000 deaths for Australia. The team at QUT, led by physician, mathematician and Future Fellow Dan Nicolau, has developed what they believe to be a…

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Microbiological big data analysis

Building a 'Microbiome Search Engine'

Big data makes big promises when it comes to providing insights into human behavior and health. The problem is how to harness the information it provides in an efficient manner. An international team of researchers has proposed a microbiome search-based method, via Microbiome Search Engine (MSE), to analyze the wealth of available health data to detect and diagnose human diseases. They published…

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Assessment of brain tumour treatment response

Developing AI algorithms for earlier glioblastoma detection

Novel advanced imaging biomarkers are being developed in a series of studies at several UK centres that may lead to the earlier assessment of treatment response to glioblastoma (GBM) and a better survival rate. Through a number of clinical trials – and the application of artificial intelligence (AI) to retrospective data sets – the aim is to highlight approaches that will enable clinicians to…

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Tumour Matrisome Index (TMI)

Big data breakthrough in cancer diagnosis

A team of researchers from the National University of Singapore (NUS) has discovered a new personalised tool to detect cancer, predict patient survivability and how well a cancer patient would respond to immunotherapy. This tool is a specially-designed cancer 'scorecard' to be used with the standard blood test for cancer (also known as liquid biopsy). This 'scorecard', which the team termed as…

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Big data vs. neuroblastoma

Smart algorithm finds possible treatment for childhood cancer

Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma. This form of cancer in children, which occurs in specialised nerve cells in the sympathetic nervous system, may be life-threatening. In the long term the discovery, described in the latest issue of the scientific journal Nature Communications, may result in a new form of…

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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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From generic to personalised, from empirical to evidence-based medicine

Hopes for hybrid imaging lie in AI

During a European Society of Hybrid, Molecular and Translational Imaging (ESHI) session at ECR 2019, three speakers discussed the role of artificial intelligence (AI) in hybrid imaging. While AI and machine learning is supporting clinicians using hybrid techniques such as PET/CT, MR/PET, or ultrasound and CT, challenges remain in ‘training the machines’ to add value to radiologists’ and…

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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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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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Xpomet preview

A passion for value-based innovations in medicine

International leaders in medicine aim at analyzing, evaluating, and incorporating the major developments in the field into the ecosystem of Xpomet Medicinale. These leaders forming the Medical Board met on 20 March to discuss the trending topics and how to approach them regarding the structure and goals of the Festival. Christian Dierks, owner of the innovation consultancy for healthcare and life…

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Distributed learning

Radiomics on tap in 5-10 years

Keeping data within the hospital by sending the learning modules to each hospital database might prove a game-changer in radiomics, a leading Dutch researcher will show at ECR 2019. Radiomics, a field that aims to extract large amounts of quantitative features from medical images using data-characterisation algorithms, is a major advance for healthcare, according to Philippe Lambin, a radiation…

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Breast and skeletal health

AI is proving pivotal in women’s health solutions

Artificial Intelligence (AI) is proving pivotal as Hologic evolves its women’s health solutions. With a focus on breast and skeletal health, future steps will see the medical technology company incorporate a more integrated approach to drive better, more cost effective, outcomes that are clinically supported to deliver an improved patient experience. Pete Valenti, Hologic’s division president…

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Neuro-research

Brain-computer interfaces: Getting a Grasp on how we think

A world where machines can be controlled by thought alone – such is the promise of so-called brain-computer interfaces (BCI). BCIs are both hardware and software communication systems that read brain and nerve signals, convert those into electrical signals and translate human thoughts into machine commands. Developers of BCIs rely on artificial intelligence, neural network models and big data…

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Future of radiology

'Radiologists who do not use AI will be replaced by those who do'

Recent developments in artificial intelligence (AI) created a veritable hype. However, that initial awe was increasingly mixed with apprehension about the potential effects of AI on healthcare. In radiology, bleak dystopias are conjured up with AI replacing the human radiologist. A scenario that Dr Felix Nensa considers premature, to say the least.

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The EFLM Strategic Conference

Placing the medical lab in a future landscape

The need to ensure that laboratory medicine can meet the future challenges of a rapidly changing healthcare environment sits at the core of an innovative strategic conference for this sector. The agenda of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Strategic Conference in Mannheim (18-19 June) highlighted the challenges, and also outlined areas of discussion to…

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Risk assessment

Predictive potential of Big Data in the lab

Big Data can be a critical tool in helping clinicians develop advanced patient health risk assessment and stratification models as well as leading to a new level of patient empowerment. Professor Josep Roca outlined the benefits of Big Data in a laboratory context during the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Strategic Conference held in Mannheim, Germany,…

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Transformation

The USA’s digital healthcare revolution

The digital revolution in healthcare in the United States is marching steadily forward, spurred by federal government regulations and financial incentives, by technological innovations, and by the necessities of increasing healthcare treatment efficiency, of lowering its cost and economic impact, and of elevating communications among providers, patients and payers to the norms of the 21st…

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Machine Learning

Finding the right algorithms to tackle big data

Tracy Accardi, Hologic’s Vice President (Global R&D), spoke of the importance of innovation, tomosynthesis, artificial intelligence/deep learning and open dialogue with the radiology community. Hologic addresses a broad spectrum of gynaecological, perinatal, aesthetic, skeletal and breast women’s health issues. To enhance this approach, Accardi, explained the importance of working closely…

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Assisting algorithms

Big data advances rare disease diagnosis and cancer therapy

Two major projects feeding on big data and based in Spain have recently come under the spotlight: Mendelian, a tool to expedite rare diseases diagnosis, and Harmony, an EU platform that aims to improve targeted therapy in haematological cancer. Rare diseases affect as many as 6% of the Spanish population. Although this percentage is high, these conditions are individually rare, which complicates…

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Precision medicine

Promising radiomics for breast MRI

‘Breast cancer rates are continuously increasing, and we don’t yet have a means of prevention,’ said Dr Clemens Kaiser, from the Medical Faculty Mannheim, at Heidelberg University, who believes the only way to save more patients from death, after providing the best possible diagnostics procedures, is via precision medicine: the right treatment at the earliest possible time. The radiologist…

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