Keyword: AI

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Innovation

Siemens Healthineers debuts new thermocycler and AI-powered interpretation software

At the 28th European Congress of Clinical Microbiology and Infectious Diseases (ECCMID 2018), Fast Track Diagnostics, a Siemens Healthineers company, launches a new molecular thermocycler, the Fast Track cycler, and the complementary new FastFinder software. The Fast Track cycler is a compact platform that enables laboratories of all sizes to implement molecular testing with simplicity and speed…

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Digital Ecosystem

Siemens Healthineers offers new way to manage care gaps with AI

At the 2018 HIMSS Annual Conference & Exhibition, Siemens Healthineers showcases the Proactive Follow-up solution as part of its Siemens Healthineers Digital Ecosystem. The application prompts the appropriate physician to initiate a medically necessary response based on care gaps identified. For example, an incidental finding, an abnormality that appears in a radiology report intended for a…

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An era of turbulence and innovation

The birth and rebirth of imaging

The New Horizons Lecture at the RSNA annual meeting is a keynote address that looks to the future, and the inventor of a major innovation in magnetic resonance imaging (MRI) technology, Daniel K Sodickson MD PhD, did just that. His lecture entitled ‘A New Light: The Birth and Rebirth of Imaging’ looked back at how MRI has evolved and forward at what it will become.

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A discipline transforming

Adding value with AI in medical imaging

In the next five to 10 years, artificial intelligence is likely to fundamentally transform diagnostic imaging. This will by no means replace radiologists, but rather help to meet the rising demand for imaging examinations, prevent diagnostic errors, and enable sustained productivity increases.

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The InnerEye Project

AI drives analysis of medical images

Some time in the distant future artificial intelligence (AI) systems may displace radiologists and many other medical specialists. However, in a far more realistic future AI tools will assist radiologists by performing very complex functions with medical imaging data that are impossible or unfeasible today, according to a presentation at the RSNA/AAPM Symposium during the Radiological Society of…

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Healthcare artificial intelligence

AI – Radiology’s next frontier

Artificial intelligence (AI) technology and its role and future impact on the radiology profession was the dominant theme at RSNA 2017, whether in scientific presentations or in the technical exhibitions. Keith J Dreyer DO PhD addressed this subject head-on in his presentation ‘Healthcare AI – Radiology’s Next Frontier.’ Dr Keith Dreyer, vice chairman of radiology informatics and chief…

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Machine learning

Google AI now can predict cardiovascular problems from retinal scans

Google AI has made a breakthrough: successfully predicting cardiovascular problems such as heart attacks and strokes simply from images of the retina, with no blood draws or other tests necessary. This is a big step forward scientifically, Google AI officials said, because it is not imitating an existing diagnostic but rather using machine learning to uncover a surprising new way to predict these…

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Automation in radiology

Machine learning techniques generate clinical labels of medical scans

Researchers used machine learning techniques, including natural language processing algorithms, to identify clinical concepts in radiologist reports for CT scans, according to a study conducted at the Icahn School of Medicine at Mount Sinai and published in the journal Radiology. The technology is an important first step in the development of artificial intelligence that could interpret scans and…

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Smart techniques

Machine learning is starting to reach levels of human performance

Machine learning is playing an increasing role in computer-aided diagnosis, and Big Data is beginning to penetrate oncological imaging. However, some time may pass before it truly impacts on clinical practice, according to leading UK-based German researcher Professor Julia Schnabel, who spoke during the last ESMRMB annual meeting. Machine learning techniques are starting to reach levels of human…

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Digital assistance

Chatbot campaign for flu shots bolsters patient response rate by 30%

Communicating with patients can be tough. Reminder pamphlets often go straight into the rubbish and emails are deleted before they are read. But one doctor found that chatbots could be a key to patient outreach. Brett Swenson, MD, is no stranger to digital health. He runs a concierge practice in Arizona and started working with EMRs about 20 years ago when they were first introduced. He said he…

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Consumer Electronic Show

Blockchain, Blue Button and interoperability among hot topics at CES 2018

The tech world descended upon Las Vegas this week for the annual Consumer Electronics Show, and plenty of health IT’s biggest players were in attendance. While much of the discussion was on consumer-friendly health tools and novel digital interventions, there were still a handful of products and discussions between executives and entrepreneurs focused on healthcare’s largest roadblocks —…

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TAITRA presentation

Taipei hits highs in Medica 2017

3-D visualisation, augmented reality, automated tumour classification – today, the Republic of China produces cutting-edge medical technology and it’s a long time since ‘Made in Taiwan’ stood for inferior, copied products. Over recent years, this island state has successfully morphed into a productive and, above all, innovative manufacturer of medical technology available on the world…

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Work in Progress

Toshiba Medical pushes the boundaries of automation

Automation might be the solution for many of the challenges radiologists and clinicians face today. Toshiba Medical, a Canon Group, is currently pushing the boundaries of what automation can accomplish and presenting their project in progress at this year's RSNA. Overwhelming volume of clinical data every day, limited access to relevant clinical information, missed findings and lack of…

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Cooperation

GE and NVIDIA join forces to accelerate AI adoption in healthcare

GE Healthcare and NVIDIA announced they will deepen their 10-year partnership to bring the most sophisticated artificial intelligence (AI) to GE Healthcare’s 500,000 imaging devices globally and accelerate the speed at which healthcare data can be processed. The scope of the partnership, detailed at the 103rd annual meeting of the Radiological Society of North America (RSNA), includes the…

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Technological turmoil

Deep Learning and AI will redefine radiology

While there has been a lot of hype — and even fear — about the role deep learning (DL) and artificial intelligence (AI) play in radiology, the reality is that they are both potentially useful technologies that will add value to the specialty in a number of ways. "Deep Learning is not going to replace us," said Paul Chang, MD, of the University of the Chicago School of Medicine,…

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Smarter predictions

Artificial Intelligence helping to detect breast cancer

Scientists are using Artificial Intelligence (AI) to support more effective breast cancer detection. The researchers at Massachusetts Institute of Technology (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts General Hospital (MGH), and Harvard Medical School, are using the machine learning system to predict whether breast lesions identified from a biopsy will…

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Digital Pathology

Deep learning and AI progress

Early adoption of image analytical tools and artificial intelligence (AI) are crucial if health systems across Europe are to see the full potential of digital pathology, according to leading expert Professor Johan Lundin, Research Director at the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki. Although European institutions increasingly embrace digital pathology, he…

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More than just a system crash

What are the limits of AI in clinical decision support systems?

Every day we hear news about Artificial Intelligence (AI) impacting more and more aspects of our lives. Stories about autonomous vehicles would probably top a current list of AI news. With all the excitement coming with these promising AI technologies, we are also starting to understand the limitations. In a recent Las Vegas traffic accident involving an autonomous bus and a truck, the cited…

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Automation, AI and more

Abundant ultrasound tech potential

Automation continues to conquer healthcare, including diagnostic imaging. Christian Kollmann, Assistant Professor at the Centre for Medical Physics and Biomedical Technology, Medical University Vienna, Austria, highlights innovative software, fast hardware and artificial intelligence in ultrasound – today and in the future. Automated analyses are already supporting the diagnostic work-up. In…

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The potential insights are invaluable; we should not waste this source

Medical data mining

The treasure trove of healthcare data waiting to be explored in German hospitals is immense and could provide invaluable insights. However, what about data security and privacy? Andreas Klüter, CTO of Empolis Information Management GmbH, a new business entry in healthcare IT, spoke with European Hospital about medical text mining and the need for ethics discussion.

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In technology's firm embrace

AI could enhance or disrupt healthcare

Artificial Intelligence (AI) has enormous potential to revolutionise the delivery of healthcare, being able to remove the drudgery’ of routine tasks, join up fragmented care records, trigger alerts when abnormal results occur, speed-up the process of identifying clusters of patients by digging deep into electronic health records, and increase efficiency of healthcare staff resources.

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AI & EHR

Savana goes data mining

Artificial intelligence (AI) has taken centre stage during the Medica Academy sessions. While talks focus on initiatives made in Germany, European Hospital took a look at Spain and spoke with Ignacio Hernández Medrano, a neurologist recently elected as one of the most influential people in healthcare (HC). At just 34 years old, Medrano has already founded two flagship AI projects, one of which…

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