Big data

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Malignant Pleural Mesothelioma

AI to help fight asbestos-related cancer

International genomics research led by the University of Leicester has used artificial intelligence (AI) to study an aggressive form of cancer, which could improve patient outcomes. Mesothelioma is…

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ECR session on technology advances

AI and Big Data offer opportunities for radiographers

Advances offered by Big Data and Artificial Intelligence within the healthcare environment are opening up new opportunities for radiographers. Roles in systems development, and being part of the…

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Disease severity comparison

Covid-19 a far more serious threat than seasonal influenza, confirms huge data set

Nearly twice as many people were admitted to hospital for Covid-19 at the height of the pandemic than were for influenza at the peak of the 2018/2019 flu season, a study of French national data…

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Improving detection accuracy

Fighting prostate cancer with over 1.5 million MRI images

Men die about five years earlier than women across the world. As initiatives to boost awareness of men’s health unfolded in November, an international project is bringing the forefront of AI…

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In Southern Denmark

Philips empowers image access for over 5,000 clinicians

oyal Philips announced the completion of a regional informatics project that consolidates radiology and nuclear medicine imaging data. The Region of Southern Denmark now has a single system for…

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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,…

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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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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 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.

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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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Digital twin

Collaboration of the future: and AI makes three

In view of the advent of personalised medicine and holistic therapy many experts predict the end of healthcare as we know it. However, in many places it is ‘healthcare business as usual’. In our interview, Dr Christoph Zindel, President Diagnostic Imaging at Siemens Healthineers, explains where he sees radiology bridging the gap between symptom-centred treatment today and the systemic…

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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

Pete Valenti, Hologic’s division president of breast and skeletal health solutions, talks about how AI is driving innovation in breast health technology. Underpinning that evolution more recently has been the acquisition of two organisations – digital specimen radiography specialists Faxitron Bioptics and BioZorb marker manufacturer Focal Therapeutics.

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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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