Keyword: deep learning

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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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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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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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A new chance for screening

Deep Learning shows potential for accurately reading mammograms

The use of deep learning (DL) technology could help radiologists increase the quality of breast cancer screening programs, lower costs, and reduce the variability in the cancer detection process. And the role of DL technology in imaging doesn't stop there. In fact, it is likely that DL computers can be trained to read mammograms as well as radiologists and — in the future — maybe even…

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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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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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Deep learning

Samsung: AI develops beyond the breast

Access, accuracy and efficiency are at the core of Samsung’s healthcare strategy, explained Insuk Song, Vice President of Product Planning, Healthcare and Medical Equipment at Samsung Electronics, during our exclusive European Hospital interview. Samsung, the Korean giant, is now proceding with its artificial intelligence (AI) deployment, notably with the S-Detect software to help ultrasound…

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Algorithmic examination

Using machine learning to predict sepsis

A machine-learning algorithm has the capability to identify hospitalized patients at risk for severe sepsis and septic shock using data from electronic health records (EHRs), according to a study presented at the 2017 American Thoracic Society International Conference. Sepsis is an extreme systemic response to infection, which can be life-threatening in its advanced stages of severe sepsis and…

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Imaging technology

Visiopharm engages in major initiative for Deep Learning

Visiopharm A/S announces the first result of their multifaceted strategy to apply Deep Learning technologies to its leading image analysis solution for cancer research and diagnostics. Visiopharm considers Deep Learning an important technological breakthrough for tissue pathology that offers the potential to make a real difference in the assessment of tissue structures, which is probably one of…

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Deep Learning

Philips and LabPON plan to create world’s largest pathology database

Royal Philips (NYSE: PHG, AEX: PHIA) and LabPON, the first clinical laboratory to transition to 100% histopathology digital diagnosis, today announced its plans to create a digital database of massive aggregated sets of annotated pathology images and big data utilizing Philips IntelliSite Pathology Solution1. The database will provide pathologists with a wealth of clinical information for the…

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Deep Learning

Deep Learning predicts hematopoietic stem cell development

Autonomous driving, automatic speech recognition, and the game Go: Deep Learning is generating more and more public awareness. Scientists at the Helmholtz Zentrum München and their partners at ETH Zurich and the Technical University of Munich (TUM) have now used it to determine the development of hematopoietic stem cells in advance. In ‘Nature Methods’ they describe how their software…

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Computer intelligence

Cognition-guided surgery – a rocky road

Surgery will change – with all the challenges that developments such as Big Data create there are no two ways about it. However, how deep those changes run remains to be seen. In a rather young field of research, scientists look at the ways all components used during surgery can be interlinked. Professor Beat Müller, co-initiator of the project ‘Cognition-Guided Surgery’, explains results…